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WO2010036091A3 - A system and a method for identifying human behavioural intention based on an effective motion analysis - Google Patents

A system and a method for identifying human behavioural intention based on an effective motion analysis Download PDF

Info

Publication number
WO2010036091A3
WO2010036091A3 PCT/MY2009/000153 MY2009000153W WO2010036091A3 WO 2010036091 A3 WO2010036091 A3 WO 2010036091A3 MY 2009000153 W MY2009000153 W MY 2009000153W WO 2010036091 A3 WO2010036091 A3 WO 2010036091A3
Authority
WO
WIPO (PCT)
Prior art keywords
intention based
activity
motion analysis
component
effective motion
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/MY2009/000153
Other languages
French (fr)
Other versions
WO2010036091A2 (en
Inventor
Mei Kuan Lim
Kim Meng Liang
Tomas Henrique Maul
Weng Kin Lai
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mimos Bhd
Original Assignee
Mimos Bhd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Mimos Bhd filed Critical Mimos Bhd
Priority to CN2009801470533A priority Critical patent/CN102224526A/en
Priority to EP09816484.1A priority patent/EP2327057A4/en
Publication of WO2010036091A2 publication Critical patent/WO2010036091A2/en
Publication of WO2010036091A3 publication Critical patent/WO2010036091A3/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B13/00—Burglar, theft or intruder alarms
    • G08B13/18—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength
    • G08B13/189—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems
    • G08B13/194—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems
    • G08B13/196—Actuation by interference with heat, light, or radiation of shorter wavelength; Actuation by intruding sources of heat, light, or radiation of shorter wavelength using passive radiation detection systems using image scanning and comparing systems using television cameras
    • G08B13/19602—Image analysis to detect motion of the intruder, e.g. by frame subtraction
    • G08B13/19613—Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion
    • G08B13/19615—Recognition of a predetermined image pattern or behaviour pattern indicating theft or intrusion wherein said pattern is defined by the user
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G06V40/23—Recognition of whole body movements, e.g. for sport training
    • G06V40/25—Recognition of walking or running movements, e.g. gait recognition

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Multimedia (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Social Psychology (AREA)
  • Psychiatry (AREA)
  • Health & Medical Sciences (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Image Analysis (AREA)

Abstract

With the growing market for video surveillance in security area, there is a need for an automated system which provides a way to track and detect human intention based on a particular human motion. The present invention relates to a system and a method for identifying human behavioral intention based on effective motion analysis wherein, the system obtains a sequence of raw images taken from live scene and processes the raw images in an activity analysis component. The activity analysis component is further provided with an activity enrollment component and activity detection component.
PCT/MY2009/000153 2008-09-24 2009-09-18 A system and a method for identifying human behavioural intention based on an effective motion analysis Ceased WO2010036091A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN2009801470533A CN102224526A (en) 2008-09-24 2009-09-18 System and method for identifying human behavioral intentions based on effective motion analysis
EP09816484.1A EP2327057A4 (en) 2008-09-24 2009-09-18 A system and a method for identifying human behavioural intention based on an effective motion analysis

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
MYPI20083761A MY159289A (en) 2008-09-24 2008-09-24 A system and a method for identifying human behavioural intention based on an effective motion analysis
MYPI20083761 2008-09-24

Publications (2)

Publication Number Publication Date
WO2010036091A2 WO2010036091A2 (en) 2010-04-01
WO2010036091A3 true WO2010036091A3 (en) 2010-06-24

Family

ID=42060321

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/MY2009/000153 Ceased WO2010036091A2 (en) 2008-09-24 2009-09-18 A system and a method for identifying human behavioural intention based on an effective motion analysis

Country Status (4)

Country Link
EP (1) EP2327057A4 (en)
CN (1) CN102224526A (en)
MY (1) MY159289A (en)
WO (1) WO2010036091A2 (en)

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8744522B2 (en) * 2009-10-21 2014-06-03 Xerox Corporation Portable security system built into cell phones
CN102119877B (en) * 2010-12-15 2012-11-07 河北工业大学 Method for creating expert knowledge base for automatically training lower artificial limbs
US20150030252A1 (en) * 2011-12-16 2015-01-29 The Research Foundation For The State University Of New York Methods of recognizing activity in video
JP5686108B2 (en) * 2012-02-24 2015-03-18 株式会社ダイフク Sorting equipment provided with an erroneous work prevention device and an erroneous work prevention device
CN102881100B (en) * 2012-08-24 2017-07-07 济南纳维信息技术有限公司 Entity StoreFront anti-thefting monitoring method based on video analysis
CN103886588B (en) * 2014-02-26 2016-08-17 浙江大学 A kind of feature extracting method of 3 D human body attitude projection
CN107423730B (en) * 2017-09-20 2024-02-13 湖南师范大学 Human gait behavior active detection and recognition system and method based on semantic folding
CN108021865B (en) 2017-11-03 2020-02-21 阿里巴巴集团控股有限公司 Method and device for identifying illegal behavior in unattended scene
US10387737B1 (en) * 2018-02-02 2019-08-20 GM Global Technology Operations LLC Rider rating systems and methods for shared autonomous vehicles
JP7283037B2 (en) * 2018-07-26 2023-05-30 ソニーグループ株式会社 Information processing device, information processing method, and program
CN112464734B (en) * 2020-11-04 2023-09-15 昆明理工大学 Automatic identification method for walking motion characteristics of quadruped based on vision

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6369794B1 (en) * 1998-09-09 2002-04-09 Matsushita Electric Industrial Co., Ltd. Operation indication outputting device for giving operation indication according to type of user's action
US20040228503A1 (en) * 2003-05-15 2004-11-18 Microsoft Corporation Video-based gait recognition
US20060284979A1 (en) * 2005-06-09 2006-12-21 Sony Corporation Activity recognition apparatus, method and program
US7212651B2 (en) * 2003-06-17 2007-05-01 Mitsubishi Electric Research Laboratories, Inc. Detecting pedestrians using patterns of motion and appearance in videos

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6369794B1 (en) * 1998-09-09 2002-04-09 Matsushita Electric Industrial Co., Ltd. Operation indication outputting device for giving operation indication according to type of user's action
US20040228503A1 (en) * 2003-05-15 2004-11-18 Microsoft Corporation Video-based gait recognition
US7212651B2 (en) * 2003-06-17 2007-05-01 Mitsubishi Electric Research Laboratories, Inc. Detecting pedestrians using patterns of motion and appearance in videos
US20060284979A1 (en) * 2005-06-09 2006-12-21 Sony Corporation Activity recognition apparatus, method and program

Also Published As

Publication number Publication date
EP2327057A4 (en) 2017-11-22
EP2327057A2 (en) 2011-06-01
CN102224526A (en) 2011-10-19
WO2010036091A2 (en) 2010-04-01
MY159289A (en) 2016-12-30

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