Presentation 1999/10/21
Real-time, Non-contact, No-wear, 3D Human Body Posture Estimation Method using Trinocular Images
Kazuhiko Takahashi, Tatsumi Sakaguchi, Jyun Ohya,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a real-time method for estimating human postures in 3D from camera images. In this method, the feature points of the human body (top of the head, and tips of hands and feet) are obtained from either the results of human contour analysis or those of time subtraction images. To optimize their positions and to overcome self-occlusion problems, all feature points are tracked by the AR model using the Kalman filter. The proposed method is applied to the trinocular camera systems and 3D human body postures are estimated. The entire process runs in real-time on a personal computer. Experimental results show the feasibility and effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Human posture estimation / Contour analysis / AR model / Kalman filter / Trinocular images / Real-time vision
Paper # PRMU99-94
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Conference Information
Committee PRMU
Conference Date 1999/10/21(1days)
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Paper Information
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) Real-time, Non-contact, No-wear, 3D Human Body Posture Estimation Method using Trinocular Images
Sub Title (in English)
Keyword(1) Human posture estimation
Keyword(2) Contour analysis
Keyword(3) AR model
Keyword(4) Kalman filter
Keyword(5) Trinocular images
Keyword(6) Real-time vision
1st Author's Name Kazuhiko Takahashi
1st Author's Affiliation ATR Media Integration and Communications Research Laboratories()
2nd Author's Name Tatsumi Sakaguchi
2nd Author's Affiliation ATR Media Integration and Communications Research Laboratories
3rd Author's Name Jyun Ohya
3rd Author's Affiliation ATR Media Integration and Communications Research Laboratories
Date 1999/10/21
Paper # PRMU99-94
Volume (vol) vol.99
Number (no) 380
Page pp.pp.-
#Pages 8
Date of Issue