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软件学报  2000 

Appearance-Based Dynamic Hand Gesture Recognition from Image Sequences with Complex Background

Keywords: Computer vision,human computer interface,hand gesture recognition,image motion model,robust regression,dynamic programming matching

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In this paper, the authors present an appearance-based approach to dynamic hand gesture recognition. A motion-based segmentation scheme for image motion estimation is proposed using variable-order parameterized models of image motion and robust regression. Based on image motion parameters, two different appearance change models of hand gestures are created. Template-Based classification technique is then employed to perform hand gesture recognition in which reference templates are created with a mini-max type of optimization. A series of experiments on 120 image sequences show that high recognition rate, low computation load, and high stability can be achieved with the proposed methods.


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