To this end, we adopt an concatenate features from different view points to obtain very competitive accuracy. To evaluate the robustness of the method, we design carefully a multi-view dataset that composes of five dynamic hand gestures in indoor environment with complex background. Experiments with single or cross view on this dataset show that background and viewpoint has strong impact on recognition robustness. | Manifold space on multiviews for dynamic hand gesture recognition
