Presentation | 2001/1/24 Human motion estimation from monocular moving pictures Takao Seki, Takayuki Ito, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | There are many visual approaches aiming at acquiring human body motion for generating CG animation and gesture recognition. Many methods using monocular moving pictures proposed in the past have problems to deal with 3D motion or error accumulation in estimating. In this paper we propose a method which allows tracking of 3D motion. The method is based on probabilistic estimation of stick model state from sequence of monocular images. We show effectiveness of proposed method, when applied to images of basic 2D and 3D motions, and show also that the proposed method can deal with quick human motion without errors. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | posture estimation / stick model / sequence |
Paper # | EID2000-311,IE2000-166 |
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Committee | EID |
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Conference Date | 2001/1/24(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Electronic Information Displays (EID) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Human motion estimation from monocular moving pictures |
Sub Title (in English) | |
Keyword(1) | posture estimation |
Keyword(2) | stick model |
Keyword(3) | sequence |
1st Author's Name | Takao Seki |
1st Author's Affiliation | Graduate School of Engineering Shibaura Institute of Technology() |
2nd Author's Name | Takayuki Ito |
2nd Author's Affiliation | NHK Science and Technical Research Laboratories |
Date | 2001/1/24 |
Paper # | EID2000-311,IE2000-166 |
Volume (vol) | vol.100 |
Number (no) | 605 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |