An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
An End-to-End Spatio-Temporal Attention Model for Human Action Recognition from Skeleton Data
Human action recognition is an important task in computer vision. Extracting discriminative spatial and temporal features to model the spatial and temporal evolutions of different actions plays a key role in accomplishing this task. In this work, we propose an end-to-end spatial and temporal attention model for human action recognition …