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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | human pose recognition / head pose estimation / pose tracking / retail surveillance |
Paper # | PRMU2012-196 |
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Committee | PRMU |
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Conference Date | 2013/3/7(1days) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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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 |
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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 |
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