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.
@article{arxiv.0912.1830,
title = {Gesture Recognition with a Focus on Important Actions by Using a Path Searching Method in Weighted Graph},
author = {Kazumoto Tanaka},
journal= {arXiv preprint arXiv:0912.1830},
year = {2009}
}
Comments
International Journal of Computer Science Issues, IJCSI Volume 6, Issue 2, pp14-19, November 2009