CN111125816A - Intelligent green channel design method and device - Google Patents
Intelligent green channel design method and device Download PDFInfo
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- CN111125816A CN111125816A CN201911237171.5A CN201911237171A CN111125816A CN 111125816 A CN111125816 A CN 111125816A CN 201911237171 A CN201911237171 A CN 201911237171A CN 111125816 A CN111125816 A CN 111125816A
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- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
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Abstract
The invention discloses a design method and a device of an intelligent green road, belonging to intelligent road facilities and comprising the following steps: arranging a camera device on one side of the green channel to acquire a video covering the green channel; dividing the green channel into a plurality of areas by adopting colors or shapes or by camera shooting setting, and setting corresponding syllables for each area; analyzing the video, judging whether a pedestrian exists in the video, and acquiring the area, the motion direction and the motion speed of the pedestrian; synthesizing music according to the area, the motion direction and the motion speed of the pedestrian and the syllables corresponding to the areas; the synthesized music is played. The invention can improve the interest of the green track, and enables people to have interactivity and entertainment during leisure and sports on the green track.
Description
Technical Field
The invention relates to a design method and a device of an intelligent green channel.
Background
Since the reform and the opening, the revolution of the social system releases the huge social productivity of Chinese people, the material wealth of people makes great progress and development, the living standard and the health requirement of people are higher and higher, people have more time to enjoy the healthy life of field and peripheral facilities, and the living community and the green passage near the park become the first place for people to enjoy leisure, entertainment and healthy sports.
The existing green tunnel design scheme and green tunnel design are single, and the facilities around the green tunnel are simple and crude, so that the existing green tunnel is not enough to meet the increasing living demands of people along with the improvement of the living demands of people.
Disclosure of Invention
The invention provides a design method and a device of an intelligent green track, which can improve the interest of the green track and meet the requirements of people on leisure and sports on the green track in spare time.
The technical scheme of the invention is realized as follows:
a design method of an intelligent green channel specifically comprises the following steps:
s1, arranging a camera device at one side of the green channel to obtain a video covering the green channel;
s2, dividing the green channel into several areas by color or shape or camera setting, and setting corresponding syllables for each area;
s3, analyzing the video, judging whether the video contains the pedestrian, and acquiring the area, the motion direction and the motion speed of the pedestrian;
s4, synthesizing music according to the area, the moving direction and the moving speed of the pedestrian and the syllables corresponding to each area;
s5, the synthesized music is played.
As a preferred embodiment of the present invention, the green channel is divided into several regions by color or shape or by camera settings in step S2, specifically referring to
The method comprises the steps of dividing a green channel into a plurality of areas by adopting black and white or color, or dividing the green channel into a plurality of areas by adopting a rectangle, a circle, a fan, a triangle or a trapezoid, or obtaining the shape of the edge of the green channel by a camera shooting setting according to a visual edge segmentation method of a visual scene, and dividing the green channel into a plurality of areas according to the shape of the edge of the green channel.
As a preferred embodiment of the present invention, the image capturing device obtains the shape of the green channel edge according to a visual edge segmentation method of a visual scene, and determines the shape as an arc corner or a square corner, if the shape is an arc corner, a region is set at a central origin as a beat conversion region, and the rest regions are equally divided into a plurality of fan-shaped syllable regions; if the square corner is the square corner, the square corner is equally divided into a plurality of square intervals, one of the square intervals is selected as a beat conversion interval, and the rest of the square intervals are square syllable intervals.
As a preferred embodiment of the present invention, step S4 specifically includes
S401, designing a pedestrian gait rhythm detection algorithm gain _ train.prototxt through a deep learning method, obtaining a gait rhythm recognition definition and a motion amount counting gain model through continuous training and parameter adjusting optimization according to a region where a person is located, a motion direction and a motion speed, and then deducing to obtain a pedestrian gait music rhythm definition in a video;
s402, designing a pedestrian movement recognition detection algorithm gate _ note _ train.prototxt based on a deep learning algorithm, obtaining a gate _ note _ train.model defined by gait movement note recognition through continuous training and parameter adjustment optimization according to the region where a person is located, the movement direction and the movement speed, and then deducing to obtain pedestrian gait note melody definition in the video;
s403, synthesizing the music melody.
An intelligent green channel design device comprises a video acquisition module, a video analysis module, a motion metering module, a music synthesis module and a music output module;
the video acquisition module acquires a green channel video and transmits the green channel video to the video analysis module and the motion metering module;
the video analysis module divides a green channel into a plurality of regions by adopting colors or shapes or camera shooting setting, and sets corresponding syllables for each region;
the motion metering module judges whether a pedestrian exists in the video, obtains the area, the motion direction and the motion speed of the pedestrian, and obtains the motion metering data of the pedestrian;
the music synthesis module synthesizes music according to the area where the person is located, the motion direction and the motion speed and the syllables corresponding to each area;
the music output module is used for outputting the synthesized music.
As a preferred embodiment of the invention, the video acquisition module is connected with the VR/AR camera to acquire VR/AR high definition video; the music output module is connected with the loudspeaker, and synthesized music is played by the loudspeaker.
As a preferred embodiment of the present invention, the mobile phone further includes an APP access module, which performs data transmission with the mobile phone APP, transmits the synthesized music or syllables, the area, the moving direction, and the moving speed of the pedestrian to the mobile phone APP, and plays the music by the mobile phone APP.
As a preferred embodiment of the present invention, the music composition device further comprises a face recognition module for recognizing the face and emotion data and transmitting the face and emotion data to the music composition module, and the music composition module combines the face and emotion data to automatically compose music.
The invention has the beneficial effects that: can promote the interest of green track for people possess interactivity and recreational when leisure and motion on green track.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart of an embodiment of a method for designing an intelligent green track according to the present invention;
FIG. 2 is a diagram illustrating a syllable definition method of arc-shaped corners;
FIG. 3 is a diagram illustrating a method for defining square corner syllables;
FIG. 4 is a diagram of one embodiment of green track area division;
fig. 5 is a schematic block diagram of an embodiment of an intelligent green track design apparatus according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1-4, the present invention provides a method for designing an intelligent green track, which specifically includes the following steps:
s1, arranging a camera device at one side of the green channel to obtain a video covering the green channel; specifically, the camera device is fixed on one side of the green channel through the vertically fixed mounting rod, the monitoring effect can be achieved, and the plurality of camera devices can be fixedly mounted on the green channel with the longer length according to the camera device.
S2, dividing the green channel into several areas by color or shape or camera setting, and setting corresponding syllables for each area;
in step S2, the color or shape is adopted or the image capture setting is used to divide the green channel into a plurality of areas, specifically, the black and white or color is used to divide the green channel into a plurality of areas, or the rectangle, circle, fan, triangle or trapezoid is used to divide the green channel into a plurality of areas, or the image capture setting is used to obtain the shape of the edge of the green channel according to the visual edge segmentation method of the visual scene, and the green channel is divided into a plurality of areas according to the shape of the edge of the green channel.
Brushing white waterproof paint on the existing single-tone color-adjusting green channel at certain intervals to form a white-black or white + other ground color green channel style, wherein the local part can be designed into a piano key style according to a piano, and the corresponding syllables are do, re, mi, fa, so, la and si. Red, orange, yellow, green, blue and purple are sequentially brushed on the existing single-level green channel according to a certain spacing to form a green channel style of seven-rainbow red, do, orange, re, green, fa, cyan, blue, la, purple. The invention can design a target detection algorithm of black-white and rainbow green channel notes by a deep learning method: the method comprises the steps of obtaining note.model and note.prototxt of green channel note definition and distance calculation through massive data training and parameter tuning optimization, and then deducing to obtain corresponding note definition and distance calculation in a video;
the shooting setting acquires the shape of a green channel edge according to a visual edge segmentation method of a visual scene, and judges the green channel edge to be an arc corner or a square corner, if the green channel edge is the arc corner, a region is set at a central origin point to be used as a beat conversion region, and the rest regions are equally divided into a plurality of fan-shaped syllable regions; if the square corner is the square corner, the square corner is equally divided into a plurality of square intervals, one of the square intervals is selected as a beat conversion interval, and the rest of the square intervals are square syllable intervals.
S3, analyzing the video, judging whether the video contains the pedestrian, and acquiring the area, the motion direction and the motion speed of the pedestrian;
s4, synthesizing music according to the area, the moving direction and the moving speed of the pedestrian and the syllables corresponding to each area;
as a preferred embodiment of the present invention, step S4 specifically includes
S401, designing a pedestrian gait rhythm detection algorithm gain _ train.prototxt through a deep learning method, obtaining a gait rhythm recognition definition and a motion amount counting gain model through continuous training and parameter adjusting optimization according to a region where a person is located, a motion direction and a motion speed, and then deducing to obtain a pedestrian gait music rhythm definition in a video;
s402, designing a pedestrian movement recognition detection algorithm gate _ note _ train.prototxt based on a deep learning algorithm, obtaining a gate _ note _ train.model defined by gait movement note recognition through continuous training and parameter adjustment optimization according to the region where a person is located, the movement direction and the movement speed, and then deducing to obtain pedestrian gait note melody definition in the video;
s403, synthesizing the music melody.
Through a deep learning method, a pedestrian motion measurement model and a music synthesis model can be constructed, and when the motion measurement data of pedestrians is obtained, the motion measurement model and the music synthesis model are input, and then the corresponding music melody can be automatically synthesized.
S5, the synthesized music is played. The playing music can be played by the loudspeaker.
The invention carries out rhythm and melody recognition on a colorful or black-and-white alternate green track after deep learning by a camera when people walk or run on the green track, automatically distinguishes the sound control of do, re, mi, fa, so, la and si, automatically sends out corresponding piano playing sound when people pass through the green track, automatically synthesizes a piece of music according to a rhythm point and a music score, and simultaneously measures and stores the motion conditions such as step number, force, climbing and the like according to the gait rhythm condition.
As shown in fig. 5, the intelligent green track design device of the present invention comprises a camera, a speaker, a main controller, and a box structure, wherein the main controller comprises an internal operation module: the device comprises a video acquisition module, a video analysis module, a motion metering module, a music synthesis module and a music output module; the master controller is fixed in the box structure and fixed at the top of the box installation rod.
The video acquisition module acquires a green channel video and transmits the green channel video to the video analysis module and the motion metering module; two paths of high-definition video access are supported;
the video analysis module divides the green channel into a plurality of areas by adopting colors or shapes or camera shooting setting, and sets corresponding syllables for each area; when people walk or run on the video, the recognition model formed by deep learning can be analyzed and recognized and respectively output to the motion metering module and the music synthesis module.
The motion metering module judges whether a pedestrian exists in the video, obtains the area, the motion direction and the motion speed of the pedestrian, and obtains the motion metering data of the pedestrian; and the method can also be used for tracking and counting the movement quantity after gait recognition and storing the formed data.
The music synthesis module synthesizes music according to the area where the person is located, the motion direction, the motion speed and the syllables corresponding to each area; music is automatically synthesized according to the rhythm when the feet of the pedestrians walk or run on the green track and is transmitted to the loudspeaker/loudspeaker through the sound output module. The music output module is used for outputting synthesized music, and can directly output sound to a local loudspeaker spaker or output sound to a Bluetooth loudspeaker box through Bluetooth.
As a preferred embodiment of the invention, the video acquisition module is connected with the VR/AR camera to acquire VR/AR high-definition video; the music output module is connected with the loudspeaker, and synthesized music is played by the loudspeaker.
As a preferred embodiment of the present invention, the present invention further includes an APP access module, which performs data transmission with the mobile phone APP, transmits the synthesized music or syllables, the area, the moving direction, and the moving speed of the pedestrian to the mobile phone APP, and plays the music by the mobile phone APP. The mobile phone APP client is directly accessed into the system, sets or inquires related data for the system, and is a channel for information interaction between people and equipment.
As a preferred embodiment of the present invention, the present invention further comprises a face recognition module for recognizing the face and emotion data and transmitting the data to the music composition module, and the music composition module combines the face and emotion data to automatically compose music.
The method has the advantages that:
1. the method provides a brand-new green channel design method, and provides a brand-new idea for green channel products;
2. the method of the invention increases the interactivity, the interestingness and the entertainment of people using green tracks and provides a better user experience;
3. the subsequent scheme of the invention adds face recognition and human body posture and emotion recognition, thus enhancing better user experience for green channel products;
4. the method has high accuracy rate of identifying the music melody through the gait, and can reach more than 95 percent.
The present invention is not limited to the above preferred embodiments, and any modifications, equivalent substitutions, improvements, etc. within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A design method of an intelligent green channel is characterized by comprising the following steps:
s1, arranging a camera device at one side of the green channel to obtain a video covering the green channel;
s2, dividing the green channel into several areas by color or shape or camera setting, and setting corresponding syllables for each area;
s3, analyzing the video, judging whether the video contains the pedestrian, and acquiring the area, the motion direction and the motion speed of the pedestrian;
s4, synthesizing music according to the area, the moving direction and the moving speed of the pedestrian and the syllables corresponding to each area;
s5, the synthesized music is played.
2. The method as claimed in claim 1, wherein the green channel is divided into several regions by color or shape or camera settings in step S2, specifically referring to
The method comprises the steps of dividing a green channel into a plurality of areas by adopting black and white or color, or dividing the green channel into a plurality of areas by adopting a rectangle, a circle, a fan, a triangle or a trapezoid, or obtaining the shape of the edge of the green channel by a camera shooting setting according to a visual edge segmentation method of a visual scene, and dividing the green channel into a plurality of areas according to the shape of the edge of the green channel.
3. The method for designing an intelligent green channel according to claim 2, wherein the camera device obtains the shape of the green channel edge according to a visual edge segmentation method of a visual scene, and judges the green channel edge to be an arc corner or a square corner, if the green channel edge is the arc corner, a region is set at a central origin point to serve as a beat conversion region, and the rest of the region is equally divided into a plurality of fan-shaped syllable regions; if the square corner is the square corner, the square corner is equally divided into a plurality of square intervals, one of the square intervals is selected as a beat conversion interval, and the rest of the square intervals are square syllable intervals.
4. The method as claimed in claim 1, wherein step S4 specifically includes
S401, designing a pedestrian gait rhythm detection algorithm gain _ train.prototxt through a deep learning method, obtaining a gait rhythm recognition definition and a motion amount counting gain model through continuous training and parameter adjusting optimization according to a region where a person is located, a motion direction and a motion speed, and then deducing to obtain a pedestrian gait music rhythm definition in a video;
s402, designing a pedestrian movement recognition detection algorithm gate _ note _ train.prototxt based on a deep learning algorithm, obtaining a gate _ note _ train.model defined by gait movement note recognition through continuous training and parameter adjustment optimization according to the region where a person is located, the movement direction and the movement speed, and then deducing to obtain pedestrian gait note melody definition in the video;
s403, synthesizing the music melody.
5. An intelligent green channel design device is characterized by comprising a video acquisition module, a video analysis module, a motion metering module, a music synthesis module and a music output module;
the video acquisition module acquires a green channel video and transmits the green channel video to the video analysis module and the motion metering module;
the video analysis module divides a green channel into a plurality of regions by adopting colors or shapes or camera shooting setting, and sets corresponding syllables for each region;
the motion metering module judges whether a pedestrian exists in the video, obtains the area, the motion direction and the motion speed of the pedestrian, and obtains the motion metering data of the pedestrian;
the music synthesis module synthesizes music according to the area where the person is located, the motion direction and the motion speed and the syllables corresponding to each area;
the music output module is used for outputting the synthesized music.
6. The apparatus according to claim 5, wherein the video capture module is connected to the VR/AR camera to obtain VR/AR high definition video; the music output module is connected with the loudspeaker, and synthesized music is played by the loudspeaker.
7. The device of claim 5, further comprising an APP access module for data transmission with the mobile phone APP, transmitting the synthesized music or syllables and the area, the moving direction and the moving speed of the pedestrian to the mobile phone APP, and playing the music by the mobile phone APP.
8. The apparatus of claim 5, further comprising a face recognition module for recognizing the face and emotion data, and transmitting the data to the music composition module, wherein the music composition module combines the face and emotion data to automatically compose music.
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Application publication date: 20200508 |