Gesture Recognition with a Focus on Important Actions by Using a Path Searching Method in Weighted Graph
arXiv:0912.1830
Abstract
This paper proposes a method of gesture recognition with a focus on important actions for distinguishing similar gestures. The method generates a partial action sequence by using optical flow images, expresses the sequence in the eigenspace, and checks the feature vector sequence by applying an optimum path-searching method of weighted graph to focus the important actions. Also presented are the results of an experiment on the recognition of similar sign language words.
International Journal of Computer Science Issues, IJCSI Volume 6, Issue 2, pp14-19, November 2009