Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition
This paper contributes to the challenge of learning human actions from skeleton-based video data. The key step is to develop a generic network architecture to extract discriminative features for the spatio-temporal skeleton data. In this paper, we propose a novel module, namely Logsig-RNN, which is...
| Main Authors: | , , , , |
|---|---|
| Format: | Conference item |
| Jezik: | English |
| Izdano: |
British Machine Vision Association
2021
|