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Tracking Humans in Real-Time by Opponent-Motion and Visual Attention

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4 Author(s)
Yaoru Sun ; Dept. of Comput. Sci. & Technol., Tongji Universit, Shanghai, China ; Xingui Hu ; Jinhua Zeng ; Zuo Zhang

This paper presents a biologically-inspired approach for human tracking by using a single feature of opponent-motion and visual attention mechanism. Opponent-motion is a significant and salient feature during human motion of walking, running, etc. By the interaction with the heuristic prior knowledge of human model, the obtained opponent-motion is used to derive motion saliency from its statistical computation for rapid selection of salient motion blobs of humans by visual attention. The biological motion with available opponent-motion, therefore, can be effectively detected and tracked in real-time. The experimental results have also shown that detecting and tracking humans by opponent-motion can greatly eliminate the effect of illumination change. This work demonstrated that the feature of opponent-motion can be used for real-time human detection and tracking in natural and clustered environments.

Published in:

Information Engineering (ICIE), 2010 WASE International Conference on  (Volume:1 )

Date of Conference:

14-15 Aug. 2010