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| Mean Shift Dynamic Deforming Hand Gesture Tracking Algorithm Based on Region Growth |
| ZHANG Qiu-Yu,HU Jian-Qiang,ZHANG Mo-Yi |
| School of Computer and Communication,Lanzhou University of Technology,Lanzhou 730050 |
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Abstract Considering the traditional Mean shift algorithm has the problem of low tracking accuracy owing to the background pixels changing in searching window and that of high time complexity led by the updating of hand gesture model, a dynamic deforming hand gesture tracking algorithm based on the integration of region growth and Mean shift is proposed in this paper. The initiation of hand gesture center is automatically accomplished by the frames difference method at the initial tracking stage. Then, the hand gesture pixel samples are gathered by the region growth method. Finally, the position of the object center is accurately located by the Mean shift. Experimental results show that the proposed method can track the dynamic deforming hand gestures accurately in real time, reduce the time complexity of algorithm and make certain the stability and the continuity of the dynamic object tracking.
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Received: 27 May 2009
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2010, Vol. 23 
