Multiview hand gesture

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.

12p vitunis2711 11-12-2019 8 0   Download

Deployment of such methods in practical applications still face to many issues such as in change of viewpoints, non-rigid hand shape, various scales, complex background and small hand regions. In this paper, these problems are considered of feature extractions on different view points as well as shared correlation space between two views.

4p viartemis2711 22-10-2019 11 0   Download