Presentation 2007-08-04
Tracking of human walking in monocular video data based on a hybrid model
Kyuengbo MIN, Koichi SHINODA, Sadaoki FURUI,
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Abstract(in English) This paper proposes a new system for tracking human motion in a monocular video stream. It focuses on precise tracking of articulated human motion based on a skeleton model and joint motion detection. To realize this approach, we introduce a hybrid model consisting of optical tracking and dynamic tracking based on the Bayes rule. In this paper, we also introduce system design integrating these concepts and show some experimental results.
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Keyword(in English) Hybrid model / Bayes rule / Motion tracking / Tracking area estimatation / Skeleton model / Optical flow / Video stream
Paper # WIT2007-24
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Committee WIT
Conference Date 2007/7/27(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Tracking of human walking in monocular video data based on a hybrid model
Sub Title (in English)
Keyword(1) Hybrid model
Keyword(2) Bayes rule
Keyword(3) Motion tracking
Keyword(4) Tracking area estimatation
Keyword(5) Skeleton model
Keyword(6) Optical flow
Keyword(7) Video stream
1st Author's Name Kyuengbo MIN
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Koichi SHINODA
2nd Author's Affiliation Tokyo Institute of Technology
3rd Author's Name Sadaoki FURUI
3rd Author's Affiliation Tokyo Institute of Technology
Date 2007-08-04
Paper # WIT2007-24
Volume (vol) vol.107
Number (no) 179
Page pp.pp.-
#Pages 6
Date of Issue