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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
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 |
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Conference Date | 2007/7/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Well-being Information Technology(WIT) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
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 |
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