Presentation 2013-03-14
Human Pose Recognition and Tracking Considering Relations between Pose Parameters for Retail Surveillance Videos
Toshimitsu TAKAHASHI, Shunsuke KAMIJO,
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Abstract(in English) In this paper, we propose a human pose recognition technique for retail surveillance video. Head position, head direction, body direction, and body model parameters are estimated by using multi-class classifiers consist of Support Vector Machine and by distance transform. In the pose tracking using particle filter, we take account of relations of pose parameters, such as the relation between head direction and body direction and the relation between head position and body model. Experiments using real retail surveillance videos show the effectiveness of our technique.
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Keyword(in English) human pose recognition / head pose estimation / pose tracking / retail surveillance
Paper # PRMU2012-196
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Committee PRMU
Conference Date 2013/3/7(1days)
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Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Human Pose Recognition and Tracking Considering Relations between Pose Parameters for Retail Surveillance Videos
Sub Title (in English)
Keyword(1) human pose recognition
Keyword(2) head pose estimation
Keyword(3) pose tracking
Keyword(4) retail surveillance
1st Author's Name Toshimitsu TAKAHASHI
1st Author's Affiliation Institute of Industrial Science, the University of Tokyo()
2nd Author's Name Shunsuke KAMIJO
2nd Author's Affiliation Institute of Industrial Science, the University of Tokyo
Date 2013-03-14
Paper # PRMU2012-196
Volume (vol) vol.112
Number (no) 495
Page pp.pp.-
#Pages 6
Date of Issue