In this paper, we propose a joint semantic preserving action attribute learning framework for action recognition from depth videos, which is built on multistream deep neural networks. More specifically, this paper describes the idea to explore action attributes learned from deep activations. Multiple stream deep neural networks rather than conventional hand-crafted low-level features are employ...
