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29 October 1996 Posture tracking and recognizing
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianhua Yao and Chih-Ho Yu "Posture tracking and recognizing", Proc. SPIE 2904, Intelligent Robots and Computer Vision XV: Algorithms, Techniques,Active Vision, and Materials Handling, (29 October 1996); https://doi.org/10.1117/12.256265
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