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软件学报  2000 

Appearance-Based Dynamic Hand Gesture Recognition from Image Sequences with Complex Background
基于表观的动态孤立手势识别

Keywords: Computer vision,human computer interface,hand gesture recognition,image motion model,robust regression,dynamic programming matching
计算机视觉
,人机接口,手势识别,图像运动模型,鲁棒回归,动态规划匹配.

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Abstract:

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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