WO2008038604A1 - Video data recording device, video data recording method, video data recording program and recording medium - Google Patents

Abstract

In the case that an input of video data is received by an input unit (101), it is overwritten by a first memory (102). Next, since it cannot be recognized whether a shock is given to a movable body by an object or not in the case that a shock detecting unit (103) is judged to detect a second shock, an object adjacent to the movable body is detected by the object detecting unit (104). Further, in the case that a judging unit (105) judges that, based on the result detected by the object detecting unit (104), the shock is given by the movable body, the video data recorded at the first memory (102) at the time when the shock is given to the movable body by the object are transferred to a second memory (107), which stores the data.

Description

 Specification

 VIDEO DATA RECORDING DEVICE, VIDEO DATA RECORDING METHOD, VIDEO DATA RECORDING PROGRAM, AND RECORDING MEDIUM

 Technical field

 The present invention relates to a video data recording apparatus, a video data recording method, a video data recording program, and a recording medium that record information. However, the use of the present invention is not limited to the above-described video data recording apparatus, video data recording method, video data recording program, and recording medium.

 Background art

 [0002] Conventionally, a drive recorder that records the surrounding situation of a running vehicle is known, similar to a flight recorder mounted on an airplane. Such a drive recorder has, for example, a front camera for photographing the front of the vehicle, a rear camera for photographing the rear, and a function of writing the front and rear images in a predetermined area of the image memory in synchronization with a reference signal. In addition, recording information obtained by adding vehicle position information and time information to image memory information is regularly recorded in the buffer memory. Then, the video is saved in the storage memory triggered by the fact that it exceeds the predetermined value of the impact detection sensor, and when encountering an incident such as a escaping accident, a proposal to use it as verification data for identifying the escaping vehicle or an accident (For example, see Patent Document 1 below.)

 Patent Document 1: Japanese Patent Application Laid-Open No. 2004-224105

 Disclosure of the invention

 Problems to be solved by the invention

[0004] However, in the technique described in Patent Document 1 described above, even when there is no object around the vehicle, that is, when there is no accident, impact detection is performed by vibration or acceleration / deceleration of speed during normal driving of the vehicle. When the value output from the sensor exceeds a predetermined value, the video is saved in the storage memory using this as a trigger, and many unnecessary videos are saved. As an example, there is a problem that the storage memory becomes full and fails to record the moment of the accident. Also, it is useless when verifying the saved video later. One problem is that it takes time and effort to verify a large number of videos.

 Means for solving the problem

 [0005] In order to solve the above-described problems and achieve the object, the video data recording apparatus, which focuses on the invention of claim 1, sequentially records a series of video data picked up from a moving body in a first memory. An impact detection means for detecting an impact applied to the moving body, an object detection means for detecting an object around the moving body, the impact detection means, and the object detection Based on the detection result detected by the means, it is determined whether or not an impact is applied to the moving body by the object, and it is determined that the impact is applied to the moving body by the object by the determining means. The video data recorded in the first memory when an impact is applied to the moving body by the object is transferred and stored in a second memory different from the first memory. And control means that, characterized in that it comprises a.

 [0006] Further, the video data recording apparatus according to the invention of claim 5 is a video data recording apparatus for sequentially overwriting and recording a series of video data imaged from a moving body in a first memory, in addition to the moving body. An impact detection means for detecting the received impact, a judgment means for judging whether or not the impact detected by the impact detection means is greater than or equal to a threshold value, and the judgment means judges that the impact is greater than or equal to a threshold value. Control for transferring the video data recorded in the first memory to the second memory different from the first memory when the impact is applied to the moving body. Means, counting means for counting the number of video data corresponding to the accident from the video data stored in the second memory, the counting result counted by the counting means and the second memory Video data Based on the number of saved items, the calculation means for calculating the percentage of video data that corresponds to an accident (hereinafter referred to as “accident applicable rate”), and the accident applicable rate calculated by the calculating means is less than a predetermined ratio. Accident applicable rate determining means for determining whether or not it is above, and threshold adjusting means for adjusting the threshold based on the determination result of the accident applicable rate determining means

[0007] Further, the video data recording method according to the invention of claim 9 is a video data recording method for sequentially overwriting and recording a series of video data captured from a moving body in a first memory. An impact detection step for detecting an impact applied to the moving body, an object detection step for detecting an object around the moving body, and the detection results detected by the impact detection step and the object detection step. Based on the determination step of determining whether or not an impact is applied to the moving body by the object, and when it is determined by the determining step that the impact is applied to the moving body, Transferring and storing video data recorded in the first memory to a second memory different from the first memory when an impact is applied to the moving body by an object; It is characterized by including.

[0008] Further, the video data recording method according to the invention of claim 10 is a video data recording method for sequentially overwriting and recording a series of video data imaged from a moving body in a first memory.

An impact detection step for detecting an impact applied to the moving body, a determination step for determining whether or not the impact detected by the impact detection step is equal to or greater than a threshold value, and the determination step. Associating the impact determined to be greater than or equal to the threshold value, the video data recorded in the first memory when the impact is applied to the moving object is stored in a second memory different from the first memory. A step of transferring and storing, a counting step of counting the number of video data corresponding to the accident from the video data stored in the second memory, a counting result counted by the counting step, and a second Based on the number of video data stored in the memory! /, Calculate the percentage of video data stored that corresponds to the accident (hereinafter referred to as “accident applicable rate”), and the calculation process. Accident coverage rate specified And a threshold value adjusting step for adjusting the threshold value based on a determination result of the accident corresponding rate determining step. To do.

 [0009] Further, a video data recording program according to the invention of claim 11 causes a computer to execute the video data recording method according to claim 9 or 10.

 [0010] Further, a recording medium which is advantageous for the invention of claim 12 is characterized in that the video data recording program according to claim 11 is recorded in a computer-readable state.

 Brief Description of Drawings

 FIG. 1 is a block diagram showing a functional configuration of a video data recording apparatus according to a first embodiment.

[FIG. 2] FIG. 2 shows a video data recording processing procedure of the video data recording apparatus according to the first embodiment. It is a flowchart which shows order.

 FIG. 3 is a block diagram of a functional configuration of the video data recording apparatus according to the second embodiment.

4] FIG. 4 is a flowchart showing a video data recording processing procedure of the video data recording apparatus according to the second embodiment.

5] FIG. 5 is a block diagram of a hardware configuration of the navigation device according to the first embodiment.

 FIG. 6 is an explanatory diagram showing a threshold value of the G sensor value.

 [FIG. 7] FIG. 7 is an explanatory diagram showing the state of the vehicle determined by the threshold value of the G sensor value.

 [FIG. 8] FIG. 8 is a flowchart showing the contents of processing of the navigation device according to the first embodiment.

 FIG. 9 is a flowchart showing the contents of the processing of the navigation device according to the second embodiment.

Explanation of symbols

 100 video data recorder

 101 Input section

 102 First memory

 103 Shock detector

 104 Object detection unit

 105 Judgment part

 106 Control unit

 107 Second memory

 108 Output section

 300 Video data recorder

 301 Counting unit

 302 Calculation unit

303 Accident Applicable Rate Judgment Department 304 Threshold adjustment unit

 305 Receiver

 306 Transmitter

 BEST MODE FOR CARRYING OUT THE INVENTION

[0013] Exemplary embodiments of a video data recording device, a video data recording method, a video data recording program, and a recording medium according to the present invention will be described below in detail with reference to the accompanying drawings.

[0014] (Embodiment 1)

 (Functional configuration of video data recording device 100)

 First, the functional configuration of the video data recording apparatus 100 according to the first embodiment of the present invention will be described. FIG. 1 is a block diagram of a functional configuration of the video data recording apparatus 100 according to the first embodiment.

 In FIG. 1, the video data recording apparatus 100 includes an input unit 101, a first memory 102, an impact detection unit 103, an object detection unit 104, a determination unit 105, a control unit 106, 2 memory 107 and an output unit 108 are provided. The input unit 101 inputs a series of video data captured from a moving body. The input unit 101 inputs video data captured by a camera or the like installed on a moving body.

 In the first memory 102, video data input by the input unit 101 is sequentially overwritten and recorded. The first memory 102 may be a recording medium capable of recording a certain amount of data. Specifically, for example, it is a recording medium for temporary recording such as a buffer memory, and video data input by the input unit 101 is always overwritten and recorded within a recordable data amount range.

[0017] The impact detection unit 103 detects an impact applied to the moving body. The impact applied to the moving object can be distinguished from, for example, an impact applied by contact with an object or an impact applied by the behavior of the moving object. In other words, since an accident is caused by an impact caused by contact with an object, an impact applied by contact with an object is an impact applied by an accident. On the other hand, the impact applied by the behavior of the moving body is not due to an accident, such as the vibration applied by the moving body or the impact applied by acceleration / deceleration of the moving speed. It was a shock.

 [0018] Further, the impact detection unit 103 is a first impact determined to be applied only by the behavior of the moving object, a second impact determined to be applied by the behavior of the object or the moving object, or only the object. Detect any one of the third impacts determined to have been applied. The first impact is a minor impact and is judged to have been applied by the behavior of the moving object. The second impact is an impact that is judged to have been applied by contact with an object or by the movement of a moving object. The third impact is an impact determined to have been applied only by contact with the object.

 [0019] The object detection unit 104 detects objects around the moving body. The object around the moving object is specifically an object that may come into contact with the moving object, for example, another moving object, a human being, or a fallen object. Specifically, the object detection unit 104 detects an object using, for example, an infrared sensor or an ultrasonic sensor. Further, the object detection unit 104 may detect an object that is in a moving direction of the moving body and within a predetermined distance within a predetermined time from the time when the shock is detected by the shock detection unit 103. Further, the object detection unit 104 may detect an object whose moving direction is toward the moving body. In addition, the object detection unit 104 may be able to determine the type (vehicle, human, etc.) and size of an object around the moving body.

 Based on the detection results detected by the impact detection unit 103 and the object detection unit 104, the determination unit 105 determines whether or not an impact has been applied to the moving body by the object. For example, when the impact detection unit 103 detects an impact and the object detection unit 104 detects an object, the determination unit 105 determines that the impact is applied to the moving body due to contact with the object.

In addition, when the impact detection unit 103 detects the second impact, the determination unit 105 moves by contact with the object based on the detection results detected by the impact detection unit 103 and the object detection unit 104. It may be determined whether or not an impact has been applied to the body. In other words, when the second impact is detected by the impact detection unit 103, the determination unit 105 can determine whether the impact is applied by contact with the object or by the behavior of the moving object. By detecting an object that is present in the vicinity of the moving body by the output unit 104, it is determined whether or not it is an impact applied by contact with the object. For example, an infrared sensor etc. A radar may be provided, and an effective range for detecting the object by the radar may be set, and when an object within the effective range is detected, it may be detected that the object is present in the vicinity.

[0022] When the determination unit 105 determines that an impact is applied to the moving body by the object, the control unit 106 is recorded in the first memory 102 when the impact is applied to the moving body by the object. The video data is transferred and stored in a second memory 107, which will be described later, different from the first memory 102. Specifically, the video data recorded in the first memory 102 when an impact is applied to the moving object by the object is, for example, a time that is a predetermined time after the time the impact is applied to the moving object. This is video data up to the time when an impact is applied to the moving body.

 In addition, when the third impact is detected by the impact detection unit 103, the control unit 106 applies an impact to the moving body by contact with the object based on the detection result detected by the object detection unit 104. The video data recorded in the first memory 102 when the impact is applied to the moving body is transferred to the second memory 107 different from the first memory 102 without judging whether or not And save. Further, when the first impact is detected by the impact detection unit 103, the control unit 106, based on the detection result detected by the object detection unit 104, has an impact applied to the moving body due to contact with the object? The video data recorded in the first memory 102 is not transferred to the second memory 107 different from the first memory 102 when an impact is applied to the moving body without judging whether or not .

 [0024] The second memory 107 is controlled by the control unit 106 to transfer and store video data recorded in the first memory 102 when an impact is applied to the moving body. Specifically, for example, it is a storage recording medium such as a storage buffer, in which video data transferred from a first memory 102, such as a nother memory, is stored. Further, the video data stored in the second memory 107 may be stored in association with time information, position information, the magnitude of the impact, etc. when the impact is applied to the moving body.

 The output unit 108 outputs the video data stored in the second memory 107. The output unit 108 outputs, for example, the video data stored in the second memory 107 as an accident record when the accident is verified at the request of the user or administrator (such as an insurance company).

(Video data recording processing procedure of video data recording apparatus 100) Next, a video data recording processing procedure of the video data recording apparatus 100 according to the first embodiment will be described. FIG. 2 is a flowchart of a video data recording process procedure of the video data recording apparatus 100 according to the first embodiment. In the flowchart of FIG. 2, first, the input unit 101 waits until the input of video data is accepted (step S2 01: No loop), and when the input is accepted (step S 201: Yes), the first memory 102 Overwrite and record video data (step S202).

 Next, the impact applied to the moving body by the impact detection unit 103 is detected (step S203). Then, it is determined whether or not the first impact is detected by the impact detection unit 103 (step S204). In step S204! / If the first impact is not detected! /, (Step S204: No), it is determined whether or not the third impact is detected by the impact detector 103 (step S2 05). . When the third impact is not detected in step S205 (step S205: No), it is determined that the second impact is detected by the impact detection unit 103 (step S206).

 [0028] If it is determined in step S206 that the second impact has been detected, there is a possibility that the impact applied to the moving body may have been applied by contact with the object. Since there is a possibility that the object has been added, the object detection unit 104 detects an object present in the vicinity of the moving body (step S207). Then, based on the detection result detected in step S207, it is determined whether or not an impact is applied to the moving body due to contact with the object (step S208). If it is determined that an impact has been applied to the moving object due to contact with the object (step S208: Yes), the first memory 102 is loaded when an impact is applied to the moving object due to contact with the object in step S202. The recorded video data is transferred to and stored in the second memory 107 (step S209), and the series of processing ends.

[0029] On the other hand, when the first impact is detected in step S204 (step S204: Yes), and in step S208, the impact is applied to the moving body due to the contact with the object! /! If / ヽ (step S208: No), the process returns to step S203, and the subsequent processing is repeated. Further, when the third impact is detected in step S205 (step S205: Yes), the process proceeds to step S209, and when the impact is applied to the moving body due to the contact with the object in step S203, the first memory 102 is stored. The recorded video data is transferred to the second memory 107 and saved. In the flowchart of FIG. 2, it is determined whether or not the first impact has been detected in step S204, and whether or not the third impact has been detected in step S205. It is not limited to. For example, the impact may be detected in step S203, and then the process may proceed to step S207 to detect the object.

 In the flowchart of FIG. 2, the impact applied to the moving body by the impact detecting unit 103 is detected in step S203, and the object present in the vicinity of the moving body is detected by the object detecting unit 104 in step S207. It is not limited to this! For example, the impact detection unit 103 may detect the impact and the object detection unit 104 may detect the object, or the object detection unit 104 may detect the object and then the impact detection unit 103 may detect the impact. Also good.

 [0032] As described above, according to video data recording apparatus 100 of the first embodiment, determination unit 105 uses a moving object based on the detection result detected by impact detection unit 103 and object detection unit 104. It is determined whether or not an impact has been applied to. Then, when it is determined by the determination unit 105 that the impact is applied to the moving body by the object, the control unit 106 is recorded in the first memory 102 when the impact is applied to the moving object by the object. Video data can be transferred and stored in a second memory 107 different from the first memory 102.

 [0033] Therefore, the control unit 106 saves the video data only when an impact is applied to the moving object and the object is in the vicinity of the moving object. It is possible to avoid recording and secure a free memory space. As a result, a user who has boarded the mobile body can ensure free memory space without recording unnecessary video data.

In addition, according to video data recording apparatus 100 of the first embodiment, control unit 106 detects the detection result detected by object detection unit 104 when the third detection is detected by impact detection unit 103. Regardless, the video data recorded in the first memory 102 when an impact is applied to the moving body can be transferred and stored in the second memory 107 different from the first memory 102. Therefore, if the control unit 106 detects an impact determined to be applied only by an object, the control unit 106 can store the video data without detecting the object. As a result, the user who has boarded the moving object does not detect the object and only saves the accident record. Use force S.

 In addition, according to video data recording apparatus 100 of Embodiment 1, control unit 106 uses the detection result detected by object detection unit 104 when the first impact is detected by impact detection unit 103. Regardless, the video data recorded in the first memory 102 when an impact is applied to the moving body can not be transferred to the second memory 107 different from the first memory 102. Therefore, if the control unit 106 detects an impact determined to be applied only by the behavior of the moving body, the control unit 106 can not store the video data without detecting the object. As a result, the user who has boarded the moving body can avoid unnecessary storage of accident records without detecting the object.

 In addition, according to video data recording apparatus 100 of Embodiment 1, determination unit 105 uses the detection result detected by object detection unit 104 when the second detection is detected by impact detection unit 103. Based on this, it is determined whether or not an impact is applied to the moving body by the object. Then, when the determination unit 105 determines that the impact is applied to the moving body by the object, the control unit 106 is recorded in the first memory 102 when the impact is applied to the moving body by the object. It is possible to transfer the stored video data to the second memory 107 different from the first memory 102 and store it.

 [0037] Therefore, if the control unit 106 detects an impact that is determined to be applied due to the behavior of the object or moving object, the control unit 106 detects the object by the object detection unit 104, and only when the object exists in the vicinity. Video data can be saved. As a result, the user who has boarded the moving body can store only the accident record.

 [0038] (Embodiment 2)

 (Functional configuration of video data recording device 300)

 Next, a functional configuration of the video data recording apparatus 300 according to the second embodiment of the present invention will be described. FIG. 3 is a block diagram of a functional configuration of the video data recording apparatus 300 according to the second embodiment.

[0039] The video data recording device 300 according to the second embodiment is different from the video data recording device 100 according to the first embodiment described above except for the object detection unit 104, a counting unit 301, a calculation unit 302, Accident rate determination unit 303, threshold adjustment unit 304, reception unit 305, and transmission unit 306 are added. It is different in point. In the second embodiment, the same parts as those in the first embodiment are denoted by the same reference numerals, and the description thereof is omitted.

 [0040] Determination unit 105 determines whether or not the impact detected by impact detection unit 103 is equal to or greater than a threshold value. The threshold value is a predetermined impact value. When an impact greater than the threshold value is applied to the moving object, it is determined that the impact is applied to the moving object due to contact with the object. The determination unit 105 determines whether or not the new impact detected by the impact detection unit 103 is equal to or greater than a threshold adjusted by a threshold adjustment unit 304 described later. Here, the new impact is an impact detected by the impact detector 103 after the threshold is adjusted by the threshold adjuster 304.

 [0041] The control unit 106 associates the impact determined by the determination unit 105 to be equal to or greater than the threshold value, and stores the video data recorded in the first memory 102 when the impact is applied to the moving object. The data is transferred and stored in a second memory 107 different from the first memory 102. Therefore, in the second memory 107, the impact applied at that time is stored in association with the video data when the impact exceeding the threshold is applied to the moving object.

 [0042] Further, the control unit 106 associates a new impact determined by the determination unit 105 to be equal to or greater than the adjusted threshold value, and stores it in the first memory 102 when the impact is applied to the moving object. The recorded video data is transferred to and stored in a second memory 107 different from the first memory 102. Accordingly, the number of video data stored in the second memory 107 is adjusted according to the threshold value adjusted by the threshold adjustment unit 304.

 The counting unit 301 counts the number of video data corresponding to the accident from the video data stored in the second memory 107. In addition, the counting unit 301 counts the number of video data stored in the second memory 107. Furthermore, for example, when the time information is associated with the video data stored in the second memory 107, the counting unit 301 calculates only the number of video data output from the second memory 107 during a predetermined period. Can be counted. Specifically, the video data corresponding to the accident is, for example, video data that is output as a request for output from a user or administrator as an accident record.

The calculation unit 302 stores the video data corresponding to the accident based on the counting result counted by the counting unit 301 and the number of stored video data stored in the second memory 107. Calculate the percentage (hereinafter referred to as “accident ratio”). The accident hit rate is the ratio of the video data corresponding to the accident among all the video data stored in the second memory 107. Further, the accident hit rate may be a ratio of video data output as an accident record within a predetermined period of video data stored in the second memory 107 within a predetermined period.

 [0045] The accident hit rate determination unit 303 determines whether the accident hit rate calculated by the calculation unit 302 is equal to or higher than a predetermined rate. The predetermined percentage may be set by the user, for example, 70%. Also, for example, if the percentage is 100 percent, there is a possibility that the video data to be saved as an accident record will be saved! If there is a small value, unnecessary video data will be saved. May be saved. In addition, the accident hit rate determination unit 303 determines whether or not the accident hit rate calculated by the calculation unit 302 is higher than a predetermined rate. In this case, the accident coverage rate ranges from 70 percent to 80 percent, with a wide range of! /.

 The threshold adjustment unit 304 adjusts the threshold based on the determination result of the accident hit rate determination unit 303. Accordingly, the threshold value is adjusted by the threshold value adjustment unit 304 and the number of video data stored in the second memory 107 is adjusted, so that the accident hit rate is adjusted. The threshold value adjustment unit 304 increases the threshold value by a predetermined amount when, for example, the accident corresponding rate determination unit 303 determines that the accident corresponding rate is not equal to or higher than a predetermined rate. For example, when the accident hit rate determination unit 303 determines that the accident hit rate is higher than a predetermined rate, the threshold value adjustment unit 304 decreases the threshold value by a predetermined amount.

 [0047] Receiving section 305 receives the counting result or threshold value in another moving body. The receiving unit 305 receives the counting result counted by the counting unit 301 provided in another moving body or the threshold adjusted by the threshold adjusting unit 304. In addition, the receiving unit 305 may receive, for example, a counting result in another moving body or an adjusted threshold value from a relay device (not shown) that relays the moving body and another moving body.

Transmitting section 306 transmits the counting result counted by counting section 301 or the threshold adjusted by threshold / value adjusting section 304 to another mobile unit. Further, the transmitting unit 306 may transmit the count result, the adjusted threshold, or the value to a relay device (not shown) that relays between the mobile body and another mobile body, for example! [0049] (Video Data Recording Processing Procedure of Video Data Recording Device 300)

 Next, the video data recording processing procedure of the video data recording apparatus 300 will be described. FIG. 4 is a flowchart of a video data recording process procedure of the video data recording apparatus 300 according to the second embodiment. In the flowchart of FIG. 4, first, it is determined whether or not the impact applied to the moving body is detected by the impact detection unit 103 (step S401).

 [0050] When an impact is detected in step S401 (step S401: Yes), the determination unit 105 determines whether or not the detected impact in step S401 is equal to or greater than the threshold (step). S402). If the impact is greater than or equal to the threshold value (step S402: Yes), step S402 is associated with the impact determined to be greater than or equal to! /, Teshiki! /, And the impact is applied when the impact is applied to the moving object. The video data recorded in the first memory 102 is transferred to and stored in the second memory 107 (step S403).

 [0051] On the other hand, if no impact is detected in step S401 (step S401: No), if step S402 is! /, The impact is squeezed! /, If it is not greater than the value! / (Step S402: No), Returning to step S401, the subsequent processing is repeated.

 [0052] Next, the number of video data corresponding to the accident is counted from the video data stored in the second memory 107 by the counting unit 301 (step S404), and the count counted by the calculating unit 302 in step S404. Based on the result and the number of stored video data stored in the second memory 107, an accident hit rate is calculated (step S405). Then, it is determined whether or not the accident hit rate calculated in step S405 by the accident hit rate determination unit 303 is greater than or equal to a predetermined ratio (step S406), and the judgment made in step S406 by the threshold adjustment unit 304 Based on the result, the threshold value is adjusted (step S407), and the series of processing ends.

 [0053] In the flowchart of Fig. 4, the impact threshold is adjusted according to the ratio of the accident hit rate, but the present invention is not limited to this. For example, it may be configured to adjust thresholds such as video data capacity and compression ratio, video brightness and audio recording level.

In the flowchart of FIG. 4, the video data recorded in the first memory 102 is transferred to the second memory 107 and stored in association with the impact in step S403. The power you are doing is not limited to this. For example, time information and position information when an impact is applied to the moving body may be stored in association with each other.

Further, in the flowchart of FIG. 4, the power used to count the number of video data corresponding to the accident from the video data stored in the second memory 107 by the counting unit 301 in step S404. It is not limited. For example, the configuration may be such that the number of video data corresponding to the accident is counted from video data stored in another mobile unit by a server or management system (not shown), and the counting result is received by the receiving unit 305.

[0056] As described above, according to the video data recording apparatus 100 of the second embodiment, the counting unit 301 counts the number of video data corresponding to the accident from the video data stored in the second memory 107. Based on the counting result and the number of stored video data stored in the second memory 107, the accident corresponding rate is calculated. Then, based on the judgment result of judging whether or not the accident hit rate is greater than or equal to a predetermined ratio by the accident hit rate judging unit 303, the threshold value can be adjusted by the threshold value adjusting unit 304. it can. Therefore, even if detection is not performed by the object detection unit 104, unnecessary storage in the second memory 107 can be avoided and a free memory space can be secured. As a result, even if there is no device for detecting an object, a user who has boarded the mobile body can ensure free memory space without recording unnecessary video data.

Further, according to the video data recording apparatus 100 of the second embodiment, when the impact applied to the moving body is detected by the impact detection unit 103, a new impact is generated by the determination unit 105. It is determined whether or not the threshold value adjusted by the threshold value adjustment unit 304 is not less than the threshold value. Then, the control unit 106 associates a new impact determined to be equal to or greater than the adjusted threshold value, and the video data recorded in the first memory 102 when the impact is applied to the moving body, The data can be transferred and stored in a second memory 107 different from the first memory 102. Therefore, based on the accident hit rate calculated by the calculation unit 302, the threshold value can be adjusted and the number of stored video data can be adjusted. As a result, even when there is no device for detecting an object, a user who has boarded the mobile body can ensure free memory space without recording unnecessary video data. Example 1

 [0058] Hereinafter, Example 1 of the present invention will be described. In the first embodiment, an example in which the video data recording device 100 of the present invention is implemented by a navigation device mounted on a moving body such as a vehicle (including a four-wheeled vehicle and a two-wheeled vehicle) will be described.

 [0059] (Hardware configuration of navigation device)

 Next, a hardware configuration of the navigation device 500 according to the first embodiment will be described. FIG. 5 is a block diagram of a hardware configuration of the navigation device according to the first embodiment. In FIG. 5, the navigation device 500 includes a CPU 501, a ROM 502, a RAM 503, a magnetic disk 卜, a rip, 504, a magnetic disk 505, an optical disk 卜, a live 506, an optical disk 507, and an audio I / F. (Interface) 508, Microphone 509, Spin 510, Human power 511, Video I / F 512, Display 513, Communication I / F 51 4, GPS unit 515, Various sensors 516, And a camera 517. Each component 0 ;! to 517 is connected by a bus 520, respectively.

 First, the CPU 501 governs overall control of the navigation device 500. The ROM 502 records programs such as a boot program and a data update program. The RAM 503 is used as a work area for the CPU 501. That is, the CPU 501 controls the entire navigation apparatus 500 by executing various programs recorded in the ROM 502 while using the RAM 503 as a work area.

 [0061] In addition, the CPU 501 once records a drive recorder image captured by the camera 517 on a recording medium for overwriting while the vehicle is running. Then, when a trigger is detected by various sensors 516, which will be described later, the CPU 501 saves the drive recorder image in a storage recording medium. In addition, if there is an instruction to output a drive recorder image by a user or the like, the CPU 501 may display it on a display 513 described later or transfer it to an external device.

The magnetic disk drive 504 controls the reading / writing of data with respect to the magnetic disk 505 according to the control of the CPU 501. The magnetic disk 505 records data written under the control of the magnetic disk drive 504. As the magnetic disk 505, for example, HD (node disk) or FD (flexible disk) can be used. The optical disc drive 506 controls reading / writing of data with respect to the optical disc 507 according to the control of the CPU 501. The optical disc 507 is a detachable recording medium from which data is read according to the control of the optical disc drive 506. The optical disk 507 can use a writable recording medium. The removable recording medium may be the power of the optical disc 507, MO, memory card, or the like.

 [0064] Examples of information recorded on the magnetic disk 505 and the optical disk 507 include images and sounds inside and outside the vehicle obtained by a camera 517 and a microphone 509 described later, and the current position of the vehicle detected by a GPS unit 515 described later. Information, output values from various sensors 516 described later, and the like. These pieces of information are recorded by the drive recorder function of the navigation device 500, and are used as verification materials when a traffic accident occurs.

 Other examples of information recorded on the magnetic disk 505 and the optical disk 507 include map data and function data. Map data includes background data that represents features (features) such as buildings, rivers, and the surface of the earth, and road shape data that represents the shape of the road, and is composed of multiple data files divided by district. Has been

[0066] The road shape data further includes traffic condition data. The traffic condition data includes, for example, the presence or absence of traffic lights and pedestrian crossings for each node, the presence or absence of entrances and junctions on highways, the length (distance) for each link, road width, direction of travel, road type (high speed Road, toll road, general road, etc.).

 [0067] The function data is three-dimensional data representing the shape of the facility on the map, character data representing the description of the facility, and other various data other than the map data. Map data and function data are recorded in blocks divided by district or function. Specifically, for example, the map data is recorded in a state where each block can be divided into blocks so as to represent a predetermined area on the map displayed on the force display screen. Also, for example, the function data is recorded in a state where each function can be divided into a plurality of blocks so as to realize one function.

[0068] In addition to the above-described three-dimensional data and character data, the function data realizes functions such as program data that realizes route search, calculation of required time, route guidance, and the like. It is data for. Each of the map data and function data is composed of multiple data files divided by district or function.

 [0069] The audio I / F 508 is connected to a microphone 509 for audio input and a speaker 510 for audio output. The sound received by the microphone 509 is A / D converted in the sound I / F 508. The microphone 509 is installed, for example, in the vicinity of the sun visor of the vehicle, and the number may be one or more. The speaker 510 outputs a sound obtained by D / A converting a predetermined sound signal in the sound I / F 508. Note that the sound input from the microphone 509 can be recorded on the magnetic disk 505 or the optical disk 507 as sound data.

 [0070] Examples of the input device 511 include a remote controller having a plurality of keys for inputting characters, numerical values, and various instructions, a keyboard, and a touch panel. The input device 511 may be realized by any one form of a remote control, a keyboard, and a touch panel, and may be realized by a plurality of forms.

 The video I / F 512 is connected to the display 513. Specifically, the video I / F 512 includes, for example, a graphic controller that controls the entire display 513, a buffer memory such as VRAM (Video RAM) that temporarily records image information that can be displayed immediately, and a graphics controller. It consists of a control IC that controls the display 513 based on the output image data.

 [0072] Display 513 displays an icon, a cursor, a menu, a window, or various data such as characters and images. On the display 513, the above-described map data is drawn in two dimensions or three dimensions. The map data displayed on the display 513 can be displayed with a mark representing the current position of the vehicle on which the navigation device 500 is mounted. The current position of the vehicle is calculated by the CPU 501.

 [0073] As the display 513, for example, a CRT, a TFT liquid crystal display, a plasma display, or the like can be used. The display 513 is installed near the dashboard of the vehicle, for example. The display 513 is installed near the vehicle dashboard, around the back seat of the vehicle, and so on.

The communication I / F 514 is connected to a network via radio and functions as an interface between the navigation device 500 and the CPU 501. Communication I / F514 is further connected via wireless. Connected to a communication network such as the Internet, and also functions as an interface between this communication network and the CPU 501.

 [0075] Communication networks include LANs, WANs, public line networks and mobile phone networks. Specifically, the communication I / F 514 includes, for example, an FM tuner, a VICS (Vehicle Information and Communication System) / Beacon Resino, a wireless navigation device, and other navigation devices, and is distributed from the VICS center. Obtain road traffic information such as traffic jams and traffic regulations. VICS is a registered trademark.

 [0103] The 0-3 unit 515 receives radio waves from GPS satellites and outputs information indicating the current position of the vehicle. The output information of the GPS unit 515 is used when the current position of the vehicle is calculated by the CPU 501 together with output values of various sensors 516 described later. Information indicating the current position is information that identifies one point on the map data, such as latitude, longitude, and altitude.

[0077] The various sensors 516 output information for determining information on the impact applied to the vehicle, and the position and behavior of the vehicle, such as a G sensor (acceleration sensor), a vehicle speed sensor, and an angular velocity sensor. The output values of the various sensors 516 are used for the calculation of the current position of the vehicle by the CPU 501, the amount of change in speed and direction, and the detection of an impact applied to the vehicle.

 In addition, the various sensors 516 may have a configuration in which a trigger for storing the drive recorder image is set in advance and the drive recorder image is stored when the trigger is detected. The trigger is, for example, a trigger for storing the drive recorder image, and may be configured to use an output of various sensors 516 that exceeds a predetermined threshold or an output that approximates a predetermined pattern as a trigger. Specifically, for example, the trigger in each sensor 516 may be set when G that is equal to or greater than a threshold value is detected by the G sensor. In addition, the force S and G sensors, which will be described in detail later with reference to FIG. 4, may have two threshold values.

[0079] Various sensors 516 detect objects around the host vehicle. Specifically, for example, an object such as the front, side, or rear of the vehicle is detected by an infrared sensor or an ultrasonic sensor. The detected object is in the traveling direction of the host vehicle within the predetermined time from the time when the trigger is detected and is within the predetermined distance, or the moving direction is directed toward the host vehicle. An object that can be determined as such. Specifically, for example, an oncoming vehicle, a following vehicle, a human, a fallen object, etc. can cause the own vehicle to cause an accident. Further, the detected object may be an object existing in the lane in which the host vehicle is traveling. In this case, the lane may be detected by detecting a white line, or a distance obtained by adding a predetermined distance to the vehicle width of the host vehicle may be regarded as a lane, or may be detected based on map data.

 [0080] The camera 517 captures an image inside or outside the vehicle. The camera 517 may always take images. The image can be either a still image or a movie.For example, the camera 5 17 captures the behavior of passengers inside the vehicle, and the captured image is recorded on a recording medium such as a magnetic disk 505 or optical disk 507 via the video I / F 512. Output to. In addition, the camera 517 captures a situation outside the vehicle, and outputs the captured image to a recording medium such as the magnetic disk 505 or the optical disk 507 via the video I / F 512. In addition, the camera 517 has an infrared power camera function, and can capture an image of an object existing outside the vehicle even when staring at night. The video output to the recording medium is overwritten and stored as a drive recorder image.

 [0081] The input unit 101, the first memory 102, the impact detection unit 103, the object detection unit 104, the determination unit 105, the control unit 106, the second memory 107, and the video data recording apparatus 100 illustrated in FIG. The counting unit 301, the calculation unit 302, the accident appropriate rate determination unit 303, the threshold value adjustment unit 304, the reception unit 305, and the transmission unit 306 included in the output unit 108 and the video data recording apparatus 300 illustrated in FIG. The CPU 501 executes a predetermined program using the programs and data recorded in the ROM 502, RAM 503, magnetic disk 505, optical disk 507, etc. in the navigation device 500 shown in Fig. 5 to control each part in the navigation device 500. To realize its function.

 That is, the navigation device 500 according to the embodiment executes the video data recording program recorded in the ROM 502 as a recording medium in the navigation device 500, so that the video data recording device 100 shown in FIG. This means that the functions of the video data recording device 300 shown in FIG. 3 can be implemented using the video data recording processing procedure shown in FIG. 2 or FIG.

[0083] (G Sensei direct threshold) Next, the threshold value of the G sensor value detected by the G sensor included in the various sensors 516 will be described with reference to FIG. FIG. 6 is an explanatory diagram showing the threshold value of the G sensor value. In Fig. 6, the vertical axis indicates the probability of an accident and the horizontal axis indicates the G sensory detected by the G sensor.

 [0084] In FIG. 6, two threshold values G1 and G2 are shown. G1 is a point where the probability of an accident cannot be ignored, and there is a possibility that the G sensor value detected by the accident may be a G sensor value detected by a non-accident cause such as driving operation of the vehicle. It is a value that can be considered. On the other hand, G2 is a point where the probability of an accident dramatically increases. When a G sensor value greater than or equal to G2 is detected, it can be regarded as a G sensor value output by the accident. G1 and G2 may be changed depending on the vehicle speed.

[0085] In the description of Fig. 6, the point where the probability of an accident is dramatically increased is G2, but this is not restrictive. For example, G2 may be a value that is a predetermined amount smaller than the point at which the probability of an accident dramatically increases. Also, for example, the probability of an accident is 100 percent

 [0086] (G sensor value threshold! /, Vehicle state determined by the value)

 Next, the state of the vehicle determined by the threshold value of the G sensor value will be described with reference to FIG. FIG. 7 is an explanatory diagram showing the state of the vehicle determined by the threshold value of the G sensor value. The impact applied to the vehicle is distinguished from the impact caused by an accident, that is, the impact applied to the vehicle by contact with an object, and the impact caused by other than the accident, that is, the impact applied to the vehicle during normal driving or acceleration / deceleration of the vehicle speed. .

[0087] First, when the G sensor value is less than G1, it is determined that the impact is not an impact caused by contact of a force object, which is an impact during normal traveling. When the G sensor value is greater than or equal to G1 and less than G2, it is also judged that the force is S, which is judged as an impact during normal running, and an impact caused by contact with an object. When the G sensor value is greater than or equal to G2, it is determined that the impact is due to the contact of an object rather than the impact during normal driving. Therefore, if the G sensor value is less than G1, it is determined that there is no impact due to an accident, so the drive recorder image is not saved. If the G sensor value is greater than or equal to G2, it is determined that the impact is due to an accident, so the drive recorder image is saved. The Also, if the G sensor value is greater than or equal to G1 and less than G2, it is not possible to determine whether the shock is due to an accident with the G sensor alone. Therefore, it is determined whether there is an impact due to an accident by detecting whether there is an object nearby when an impact is applied to the vehicle by using an infrared sensor or an ultrasonic sensor provided in the various sensors 516.

 [0088] (Contents of processing of navigation device 500)

 Next, processing contents of the navigation device 500 according to the first embodiment will be described. FIG. 8 is a flowchart showing the contents of the processing of the navigation device according to the first embodiment. In the flowchart of FIG. 8, first, the CPU 501 controls the camera 517 to start shooting a drive recorder image (step S801). The image for the drive recorder may be, for example, an image obtained by photographing the front direction of the vehicle from the camera 517 mounted on the vehicle. In this image, for example, in addition to the host vehicle, an oncoming vehicle, an intersection, a state near the intersection, a traffic light, a road sign, and the like are displayed.

 Then, the drive recorder image taken in step S801 is overwritten and recorded (step S802). Specifically, for example, the CPU 501 controls the magnetic disk drive 504 to overwrite and record the drive recorder image on an overwriting recording medium.

 Next, the CPU 501 determines whether or not a G sensor value has been detected (step S803). For the detection of the G sensor value, for example, it is determined whether or not the G sensor value is detected based on the output of the G sensor provided in the various sensors 516. If a G sensor value is detected in step S803 (step S803: Yes), it is determined whether the G sensor value is equal to or greater than G1 (step S804). If the G sensor value is greater than or equal to G1 (step S804: Yes), it is next determined whether or not the G sensor value is greater than or equal to G 2 (step S805).

[0091] If the G sensor value is less than G2 in step S805 (step S805: No), it is determined whether the infrared sensor has detected an object (step S806). If an object is detected in step S806 (step S806: Yes), the relative distance between the object detected in step S806 and the host vehicle is calculated (step S807), and the relative distance calculated in step S807 is greater than the predetermined distance. Judge whether it is short or not. That is, it is determined whether or not there is an object at a position in contact with the own vehicle (step S808). (Step S808: Yes), the drive recorder image that has been overwritten in Step S802 is transferred to the storage medium for storage (Step S809).

 [0092] On the other hand, if the G sensor value is not detected in step S803 (step S803: No), if the G sensor value is less than G1 in step S804 (step S804: No), step S806i koo! / If not detected (step S806: No), step S808i Koo! /, If there is an object in contact with your vehicle! / (Step S808: No), return to step S803, and the subsequent processing repeat.

 [0093] If the G sensor value is greater than or equal to G2 in step S805 (step S805: Yes), the process proceeds to step S809, and the drive recorder image that has been overwritten in step S802 is transferred to a storage medium for storage. And save.

 In the flowchart of FIG. 8, the force for determining whether or not the infrared sensor has detected an object in step S806 is not limited to this. For example, an object may be detected by an ultrasonic sensor or a contact detection sensor.

 [0095] In the flowchart of Fig. 8, the relative distance is calculated in step S807, but the present invention is not limited to this. For example, the configuration for calculating the relative distance in step S807 may be omitted by setting the detection distance for detecting the object in step S806 to a predetermined distance in advance.

 [0096] As described above, according to the navigation device 500 of the first embodiment, the determination unit 105 causes the object to impact the moving body based on the detection results detected by the impact detection unit 103 and the object detection unit 104. It is determined whether or not is added. When the determination unit 105 determines that an impact has been applied to the moving body by the determination unit 105, the control unit 106 displays the image recorded in the first memory 102 when the impact is applied to the moving body by the object. Data can be transferred and stored in a second memory 107 different from the first memory 102.

Therefore, the control unit 106 stores unnecessary video data in the second memory 107 only when an impact is applied to the moving object and the object is in the vicinity of the moving object. Can be secured and free memory space can be secured. As a result, a user who has boarded the mobile body can ensure free memory space without recording unnecessary video data. Further, according to the navigation device 500 of the first embodiment, when the control unit 106 detects the third impact by the impact detection unit 103, it does not depend on the detection result detected by the object detection unit 104. The video data recorded in the first memory 102 when an impact is applied to the moving body can be transferred and stored in the second memory 107 different from the first memory 102. Therefore, if the control unit 106 detects an impact determined to be applied only by an object, the control unit 106 can store the video data without detecting the object. As a result, the user who has boarded the moving body can store only the accident record without detecting the object.

 In addition, according to the navigation device 500 of the first embodiment, the control unit 106 does not depend on the detection result detected by the object detection unit 104 when the first detection is detected by the impact detection unit 103. When the impact is applied to the moving body, the video data recorded in the first memory 102 can not be transferred to the second memory 107 different from the first memory 102. Therefore, if the control unit 106 detects an impact determined to be applied only by the behavior of the moving body, the control unit 106 can not store the video data without detecting the object. As a result, the user who has boarded the moving body can avoid storing unnecessary accident records without detecting the object.

 [0100] Also, according to the navigation device 500 of the first embodiment, the determination unit 105 detects the second impact by the impact detection unit 103, based on the detection result detected by the object detection unit 104. Then, it is determined whether or not an impact is applied to the moving body by the object. When the determination unit 105 determines that an impact has been applied to the moving body, the control unit 106 records the video data recorded in the first memory 102 when the impact is applied to the moving body by the object. Can be transferred and stored in a second memory 107 different from the first memory 102.

 [0101] Therefore, if the control unit 106 detects an impact that is determined to be applied due to the behavior of the object or moving object, the control unit 106 detects the object by the object detection unit 104, and only when the object is nearby. Video data can be saved. As a result, the user who has boarded the moving body can save only the accident record.

[0102] As described above, the video data recording apparatus and video data recording of Example 1 of the present invention According to the method, the video data recording program, and the recording medium, when an impact applied to the moving body is detected, an object close to the moving body is further detected, so that the drive recorder is used only in the case of an accident. Save the image. Therefore, it is possible to avoid unnecessary recording of images for drive recorders and to secure free memory space. As a result, the user who has boarded the moving body can avoid recording and losing accident records.

 Example 2

 [0103] Next, Example 2 of the present invention will be described. In the second embodiment, for example, the video data recording device 300 of the present invention is implemented by a navigation device mounted on a moving body such as a vehicle (including a four-wheeled vehicle and a two-wheeled vehicle) that does not include a device for detecting an object. An example of the case will be described. Note that the hardware configuration of the navigation device according to the second embodiment is substantially the same as that shown in FIG.

 [0104] (Processing content of navigation device 500)

 Next, processing contents of the navigation device 500 according to the second embodiment will be described. FIG. 9 is a flowchart showing the contents of the processing of the navigation device according to the second embodiment. In the flowchart of FIG. 9, the CPU 501 controls the camera 517, and the captured drive recorder image is always overwritten and recorded on the recording medium for overwriting recording.

 In the flowchart of FIG. 9, first, it is determined whether or not an impact is detected by the various sensors 516 (step S901). The impact is detected by a G sensor provided in various sensors 516 or the like. If an impact is detected in step S901 (step S901: Yes), it is determined whether the impact is greater than or equal to a threshold value T (step S902). If the impact is greater than or equal to the value T (step S902: Yes), step S902 is associated with the impact determined to be! /, Teshiki! /, Greater than or equal to the value T and always overwritten. The drive recorder image is transferred to a storage medium for storage and stored (step S903).

 [0106] On the other hand, if no impact is detected in step S901 (step S901: No), if step S902 is! /, Protect! /, If the value is not over T! /, (Step S902: No), Step S901 is returned to and the subsequent processing is repeated.

[0107] Next, among the drive recorder images saved in step S903, the association is performed. The number C of images whose impact is greater than or equal to the threshold value T is counted (step S904). And C

 T T

 The number C of images corresponding to the accident is counted (step S905). And step S9 out

 Based on the counting results counted in 04 and step S905, the accident hit rate R is calculated (step S906). Accident rate R is the number of images C above threshold T

 T

 Therefore, it is the ratio of the number of applicable images c.

 out

 [0108] Next, it is determined whether or not the accident hit rate R is equal to or higher than a predetermined accident hit rate R (step S9).

 T

 07), Accident applicable rate R is not higher than the specified accident applicable rate R (Step S907: No) τ

 Then, the threshold value T is increased by a predetermined amount ΔΤ (step S908), the process returns to step S904 and the subsequent processing is repeated.

 [0109] On the other hand, in step S907, when the accident coverage rate R is equal to or greater than the predetermined accident coverage rate R (

 T

 Step S907: Yes), Accident rate R is higher than the specified rate R

 T

 It is determined whether or not the rate (R + A) or higher (step S909). In step S909, the accident

T

 If the win rate R is (R + A) or more (step S909: Yes), the threshold T is reduced by a predetermined amount ΔΤ.

 T

 (Step S910), the process returns to Step S909, and the subsequent processing is repeated. On the other hand, if the accident rate R is not more than (R + A) in step S909 (step S909: No),

 T

 A series of processing is finished as it is.

 [0110] As described above, according to the navigation device 500 of the second embodiment, the counting result obtained by counting the number of video data corresponding to the accident from the video data stored in the second memory 107 by the counting unit 301. Based on the number of video data stored in the second memory 107, the accident hit rate of the video data output from the second memory 107 is calculated. The threshold adjustment unit 304 can adjust the threshold value based on the determination result obtained by determining whether or not the accident corresponding rate determination unit 303 determines whether the accident corresponding rate is equal to or higher than a predetermined ratio. Therefore, even if the detection is not performed by the object detection unit 104, unnecessary storage in the second memory 107 can be avoided and the free space of the memory can be secured. As a result, even when there is no device for detecting an object, a user who has boarded the mobile body can ensure free memory space without recording unnecessary video data.

[0111] Also, according to the navigation device 500 of the second embodiment, when a shock newly applied to the moving object is detected by the impact detection unit 103, a new impact is applied by the determination unit 105. It is determined whether or not the threshold value adjusted by the threshold value adjustment unit 304 is exceeded. Then, the control unit 106 associates a new impact determined to be equal to or greater than the adjusted threshold value, and the video data recorded in the first memory 102 when the impact is applied to the moving object, It can be transferred and stored in a second memory 107 different from the first memory 102. Therefore, based on the accident hit rate calculated by the calculation unit 302, the threshold value can be adjusted, and the number of video data to be stored can be adjusted. As a result, even if there is no device for detecting an object, a user who has boarded the moving body can avoid unnecessary video data recording and can secure the free space of the memory.

[0112] As described above, according to the video data recording device, the video data recording method, the video data recording program, and the recording medium of the second embodiment of the present invention, when an impact applied to the moving body is detected, Save the drive recorder image only when an impact exceeding the threshold is detected. Then, by counting the number of video data output from the memory and calculating the accident hit rate, unnecessary recording of images for the drive recorder can be avoided, and free memory space can be secured. As a result, even if there is no device for detecting an object, a user who has boarded the moving body can avoid recording unnecessary video data and use the power S to secure a free memory space.

 Note that the video data recording method described in the first embodiment and the second embodiment can be realized by executing a program prepared in advance on a computer such as a personal computer or a workstation. . This program is recorded on a computer-readable recording medium such as a hard disk, a flexible disk, a CD-ROM, an MO, and a DVD, and is executed by being read from the recording medium by the computer. Further, this program may be a transmission medium that can be distributed via a network such as the Internet.

Claims

The scope of the claims  [1] In a video data recording apparatus for sequentially overwriting and recording a series of video data captured from a moving object in a first memory,  An impact detection means for detecting an impact applied to the moving body;  Object detection means for detecting an object around the moving body;  Based on the detection results detected by the impact detection means and the object detection means. V, a determination means for determining whether or not an impact is applied to the moving body by the object, and when the determination means determines that an impact is applied to the moving body by the object, the object is moved by the object. Control means for transferring and storing video data recorded in the first memory to a second memory different from the first memory when an impact is applied to the body;  A video data recording apparatus comprising: [2] The impact detection means is a first impact determined to be applied only by the behavior of the moving body, a second impact determined to be applied by the behavior of the object or the moving body, or the Detect one of the third impacts judged to have been applied only by the object,  In the case where the third impact is detected by the impact detection means, the determination means determines whether or not an impact is applied to the moving body by the object based on a detection result detected by the object detection means. Without judging  The control means transfers the video data recorded in the first memory when an impact is applied to the moving body to a second memory different from the first memory for storage. The video data recording apparatus according to claim 1, wherein: [3] In the case where the first impact is detected by the impact detection means, the determination means determines whether the impact is applied to the moving body by the object based on a detection result detected by the object detection means. Without judging whether or not The control means does not transfer video data recorded in the first memory to a second memory different from the first memory when an impact is applied to the moving body. The video data recording apparatus according to claim 2, wherein [4] In the case where the second impact is detected by the impact detection means, the determination means detects the moving object by the object based on the detection results detected by the impact detection means and the object detection means. Determine if an impact has been applied,  The control means is recorded in the first memory when an impact is applied to the moving body by the object when the determining means determines that an impact is applied to the moving body by the object. 4. The video data recording apparatus according to claim 2, wherein the video data is transferred to and stored in a second memory different from the first memory. [5] In a video data recording apparatus for sequentially overwriting and recording a series of video data captured from a moving object in a first memory,  An impact detection means for detecting an impact applied to the moving body;  Judgment means for judging whether or not the impact detected by the impact detection means is greater than or equal to a threshold value;  The video data recorded in the first memory when the impact determined to be greater than or equal to the threshold value by the determination means is applied to the moving body is different from the first memory. Control means for transferring to and storing in a second memory;  Counting means for counting the number of video data corresponding to the accident from the video data stored in the second memory;  Based on the counting result counted by the counting means and the number of stored video data stored in the second memory, the ratio of video data storage that corresponds to the accident (hereinafter referred to as the “corresponding accident rate”) is calculated. Calculating means for  Accident applicable rate determining means for determining whether the accident applicable rate calculated by the calculating means is greater than or equal to a predetermined ratio;  Based on the judgment result of the accident hit rate judging means, the threshold, the threshold for adjusting the value! /, The value adjusting means,  A video data recording apparatus comprising: [6] The threshold adjustment means determines the accident appropriate rate by the accident appropriate rate determining means. 6. The video data recording apparatus according to claim 5, wherein when it is determined that the ratio is not equal to or greater than a predetermined ratio, the threshold value is increased by a predetermined amount. [7] The accident appropriate rate determination means determines whether or not the accident applicable rate determined to be equal to or higher than the predetermined rate is greater than or equal to a rate higher than the predetermined rate.  6. The video according to claim 5, wherein the threshold value adjusting means reduces the threshold value by a predetermined amount when the accident hit rate determining means determines that the ratio is higher than the predetermined ratio. Data recording device. [8] The impact detection means detects an impact newly applied to the moving body,  The determination means determines whether or not the new impact detected by the impact detection means is equal to or greater than a threshold adjusted by the threshold adjustment means;  The control means associates a new impact determined to be equal to or greater than the threshold adjusted by the determination means, and the video recorded in the first memory when the impact is applied to the moving body. 8. The video data recording apparatus according to claim 5, wherein the data is transferred to and stored in a second memory different from the first memory. [9] In a video data recording method for sequentially overwriting and recording a series of video data captured from a moving body in a first memory,  An impact detection step of detecting an impact applied to the moving body;  An object detection step of detecting an object around the moving body;  Based on the detection results detected by the impact detection step and the object detection step, a determination step for determining whether or not an impact is applied to the moving body by the object, and the object by the determination step. When it is determined that an impact is applied to the moving body, the video data recorded in the first memory when the impact is applied to the moving body by the object is different from the first memory. Transferring to a second memory for storage;  A video data recording method comprising: [10] In a video data recording method for sequentially overwriting and recording a series of video data captured from a moving body in a first memory, An impact detection step of detecting an impact applied to the moving body;  A determination step of determining whether or not the impact detected by the impact detection step is greater than or equal to a threshold value; and  The video data recorded in the first memory when the impact determined to be equal to or greater than the threshold value in the determination step is applied to the moving body is different from the first memory. Transferring to a second memory for storage;  A counting step of counting the number of video data corresponding to the accident from the video data stored in the second memory;  Based on the counting result counted in the counting step and the number of stored video data stored in the second memory, the percentage of video data stored that corresponds to the accident (hereinafter referred to as the “accident applicable rate”) is calculated. A calculation process to perform,  An accident hit rate determination step of determining whether the accident hit rate calculated by the calculation step is equal to or greater than a predetermined rate;  Based on the judgment result of the accident hit rate judgment step, the threshold, the threshold for adjusting the value! /, The value adjustment step,  A video data recording method comprising: [11] A video data recording program causing a computer to execute the video data recording method according to claim 9 or 10. [12] A computer-readable recording medium, wherein the video data recording program according to claim 11 is recorded.