Motion boundary based sampling and 3D co-occurrence descriptors for action recognition ?
A motion boundary based sampling strategy is proposed for dense trajectory. A set of 3D co-occurrence descriptors is developed to describe cuboids. Two decomposition strategies are presented to further improve performance. We achieve state-of-the-art results on several human action datasets.
motion boundary 3d co-occurrence descriptors action recognition dense trajectory bag of features