2019
Temporal Salience Based Human Action Recognition
ICASSP 2019accepted
This paper proposes a new approach for human action recognition exploring the temporal salience. We exploit features over the temporal saliency maps for learning the action representation using a local dense descriptor. This approach automatically guides the descriptor towards the most interesting c…