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WO2008139399A3 - Method of determining motion-related features and method of performing motion classification - Google Patents

Method of determining motion-related features and method of performing motion classification Download PDF

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Publication number
WO2008139399A3
WO2008139399A3 PCT/IB2008/051843 IB2008051843W WO2008139399A3 WO 2008139399 A3 WO2008139399 A3 WO 2008139399A3 IB 2008051843 W IB2008051843 W IB 2008051843W WO 2008139399 A3 WO2008139399 A3 WO 2008139399A3
Authority
WO
WIPO (PCT)
Prior art keywords
motion
related features
determining
images
classification
Prior art date
Application number
PCT/IB2008/051843
Other languages
French (fr)
Other versions
WO2008139399A2 (en
Inventor
Olivier Pietquin
Vasanth Philomin
Original Assignee
Philips Intellectual Property
Koninkl Philips Electronics Nv
Olivier Pietquin
Vasanth Philomin
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 Philips Intellectual Property, Koninkl Philips Electronics Nv, Olivier Pietquin, Vasanth Philomin filed Critical Philips Intellectual Property
Publication of WO2008139399A2 publication Critical patent/WO2008139399A2/en
Publication of WO2008139399A3 publication Critical patent/WO2008139399A3/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/20Analysis of motion
    • G06T7/246Analysis of motion using feature-based methods, e.g. the tracking of corners or segments
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Human Computer Interaction (AREA)
  • Image Analysis (AREA)

Abstract

The invention relates to a method of determining motion-related features (Fm) pertaining to the motion of an object (1), which method comprises obtaining a sequence of images (f1, f2,..., fn) of the object (1), processing at least parts of the images (f1, f2,..., fn) to extract a number of first-order features from the images (f1, f2,..., fn), computing a number of statistical values pertaining to the first-order features, combining the statistical values into a number of histograms (HLC, HG), and determining the motion- related features (Fm) for the object (1) based on the histograms (HLC, HG). Furthermore, the invention relates to a method for performing motion classification for the motion of an object (1) captured in a sequence of images (f1, f2,..., fn). Such a motion classification method comprises determining motion-related features (Fm) for the images (f1, f2,..., fn) using the described method of determining motion-related features (Fm), and using the motion-related features (Fm) to classify the motion of the object (1). The invention also relates to a system (3) for determining motion-related features (Fm) pertaining to an object (1) in an image (f1), and to a system (4) for performing motion classification for the motion of an object ( 1 ).
PCT/IB2008/051843 2007-05-15 2008-05-09 Method of determining motion-related features and method of performing motion classification WO2008139399A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
EP07108267 2007-05-15
EP07108267.1 2007-05-15

Publications (2)

Publication Number Publication Date
WO2008139399A2 WO2008139399A2 (en) 2008-11-20
WO2008139399A3 true WO2008139399A3 (en) 2009-04-30

Family

ID=40002714

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IB2008/051843 WO2008139399A2 (en) 2007-05-15 2008-05-09 Method of determining motion-related features and method of performing motion classification

Country Status (2)

Country Link
TW (1) TW200910221A (en)
WO (1) WO2008139399A2 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10096118B2 (en) 2009-01-13 2018-10-09 Futurewei Technologies, Inc. Method and system for image processing to classify an object in an image

Families Citing this family (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101632963B1 (en) * 2009-02-02 2016-06-23 아이사이트 모빌 테크놀로지 엘티디 System and method for object recognition and tracking in a video stream
TWI415032B (en) * 2009-10-30 2013-11-11 Univ Nat Chiao Tung Object tracking method
US8890803B2 (en) 2010-09-13 2014-11-18 Samsung Electronics Co., Ltd. Gesture control system
EP2428870A1 (en) * 2010-09-13 2012-03-14 Samsung Electronics Co., Ltd. Device and method for controlling gesture for mobile device
US9165188B2 (en) * 2012-01-12 2015-10-20 Kofax, Inc. Systems and methods for mobile image capture and processing
JP5782061B2 (en) * 2013-03-11 2015-09-24 レノボ・シンガポール・プライベート・リミテッド Method for recognizing movement of moving object and portable computer
WO2015174228A1 (en) * 2014-05-13 2015-11-19 オムロン株式会社 Attitude estimation device, attitude estimation system, attitude estimation method, attitude estimation program, and computer-readable recording medium whereupon attitude estimation program is recorded
JP6137425B2 (en) * 2015-06-10 2017-05-31 コニカミノルタ株式会社 Image processing system, image processing apparatus, image processing method, and image processing program
EP3309747A4 (en) * 2015-06-11 2018-05-30 Konica Minolta, Inc. Motion detection system, motion detection device, motion detection method, and motion detection program
TWI779454B (en) * 2021-01-08 2022-10-01 財團法人資訊工業策進會 Motion recognition apparatus and method thereof
CN119768826A (en) * 2022-08-26 2025-04-04 三星电子株式会社 Motion-based image enhancement method and electronic equipment

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007004100A1 (en) * 2005-06-30 2007-01-11 Philips Intellectual Property & Standards Gmbh A method of recognizing a motion pattern of an obejct

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007004100A1 (en) * 2005-06-30 2007-01-11 Philips Intellectual Property & Standards Gmbh A method of recognizing a motion pattern of an obejct

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
ROOMS F ET AL: "Estimating image blur in the wavelet domain", INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNALPROCESSING, XX, XX, 8 July 2002 (2002-07-08), pages 1 - 6, XP002384823 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10096118B2 (en) 2009-01-13 2018-10-09 Futurewei Technologies, Inc. Method and system for image processing to classify an object in an image

Also Published As

Publication number Publication date
WO2008139399A2 (en) 2008-11-20
TW200910221A (en) 2009-03-01

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