Hierarchical transfer learning for online recognition of compound actions

Experimental results on a challenging and realistic dataset show an improvement in action recognition performance of 16% due to the introduction of our hierarchical transfer learning. The proposed algorithm is fast with an average latency of just 2 frames (66 ms) and outperforms state of the art action recognition algorithms that are capable of fast online action recognition.