In this paper, a human action recognition method is presented in which pose representation is based on the contour points of the human silhouette Weizmann, MuHAVi and IXMAS datasets return high and stable success rates, achieving, to the best of our knowledge, the best rate so far on the MuHAVi Novel Actor test.
Chaaraoui et al. REF presented a method, where pose representation is based on the contour points of the human silhouette and actions are learned by making use of sequences of multi-view key poses.
Silhouette-based human action recognition using sequences of key poses
Pattern Recognit. Lett.
Pattern Recognit. Lett.
Mathematics Computer Science