A real-time vision-based human motion capturing

Chung-Lin Huang; Bau-Cheng Shen; Huang-Chia Shih

doi:10.1117/12.631590

24 June 2005 A real-time vision-based human motion capturing

Chung-Lin Huang, Bau-Cheng Shen, Huang-Chia Shih

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59602P (2005) https://doi.org/10.1117/12.631590
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

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.

Citation Download Citation

Chung-Lin Huang, Bau-Cheng Shen, and Huang-Chia Shih "A real-time vision-based human motion capturing", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59602P (24 June 2005); https://doi.org/10.1117/12.631590

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