Human Activity Recognition Using a Dynamic Texture Based Method
Paul Crook, Vili Kellokumpu, Guoying Zhao, Matti Pietikäinen · 2008
We present a novel approach for human activity reco gnition. The method uses dynamic texture descriptors to describe human movements in a spatiotemporal way. The same features are also use d for human detection, which makes our whole approach computationally simple. Following recent trends in computer vision research , our method works on image data rather than silhouettes. We test our met hod on a publicly available dataset and compare our result to the sta te of the art methods.