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Proceedings Paper

Posture tracking and recognizing
Author(s): Jianhua Yao; Chih-Ho Yu
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Paper Abstract

Tracking and recognizing of human body postures in image sequences is a challenging task in computer vision and pattern recognition, far from being solved. Most previous research in this area utilizes edge information. However, many edge-based methods are unstable because image edges are very sensitive to noise and usually cannot be completely and/or precisely extracted. To overcome these difficulties, we developed a region-based method for recognizing and tracking postures. We also suggested a 'virtual-double- camera' configuration to take images from two different view angles with respect to the human body. Using fused information from different images to direct the posture recognizing process, we achieved quite robust results. Principles of our method and examples of experiment results are presented in this paper.

Paper Details

Date Published: 29 October 1996
PDF: 7 pages
Proc. SPIE 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling, (29 October 1996); doi: 10.1117/12.256265
Show Author Affiliations
Jianhua Yao, Tsinghua Univ. (China)
Chih-Ho Yu, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 2904:
Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling
David P. Casasent, Editor(s)

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