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The 5th International Conference on Computer Vision Systems, 2007
Bielefeld, 21. - 24. März 2007

This paper presents a real-time vision-based system for the tracking of human upper body with both color images and depth maps. We combine the color-histogram-based particle filtering and mean shift algorithm to track face and hands and estimate other body parts by human kinetics. A multi-cue approach that integrates depth information and the color-based method is introduced to handle the rapid and complex motions of human hands. Real-time depth is recovered based on simple hardware configuration, which makes our system easy to be popularized in many real-world applications like digital entertainment. The system runs at 20 fps for images with 320x240 pixels on a 2.8GHz PC.

DOI: 10.2390/biecoll-icvs2007-83

Xu, Yihua ; Deng, Xiao ; Jia, Yunde  (2007)  A Multi-Cue-Based Human Body Tracking System. The 5th International Conference on Computer Vision Systems, 2007


URL: http://biecoll.ub.uni-bielefeld.de/volltexte/2007/5

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