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Proceedings Paper

A real-time vision-based human motion capturing
Author(s): Chung-Lin Huang; Bau-Cheng Shen; Huang-Chia Shih
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Paper Abstract

In this paper, we introduce a real time vision-based human motion capturing system using two CCD cameras. For realtime processing consideration, we propose some simple but effective methods to estimate the motion parameters (BAPs) of the human object. Our method analyzes the vertical projection profile and the horizontal projection profile in each view to identify different arm and leg postures. With the identified postures, we can apply the Kalman filter to track the motion parameters (joint angels). Our motion analysis method is divided into macro motion analysis and micro motion analysis. The former identifies certain well-defined postures and the latter traces the variation of joint angle or BAPs.

Paper Details

Date Published: 31 July 2006
PDF: 12 pages
Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59602P (31 July 2006); doi: 10.1117/12.631590
Show Author Affiliations
Chung-Lin Huang, National Tsing Hua Univ. (Taiwan)
Bau-Cheng Shen, National Tsing Hua Univ. (Taiwan)
Huang-Chia Shih, National Tsing Hua Univ. (Taiwan)


Published in SPIE Proceedings Vol. 5960:
Visual Communications and Image Processing 2005
Shipeng Li; Fernando Pereira; Heung-Yeung Shum; Andrew G. Tescher, Editor(s)

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