Appearance-Based Dynamic Hand Gesture Recognition from Image Sequences with Complex Background
Zhu Yuan · 2000
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.