Name
Abstract | ||
|---|---|---|
With the prevalence of accessible multi-modal sensors and the maturity of pose estimation algorithms, skeleton-based action recognition has gradually become the mainstream of human action recognition (HAR). The key issue is to mine the correlations and dependencies between different joints and bones. In this paper, we propose a cross view learning approach. First, the static and dynamic representa... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TCSVT.2021.3100128 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | DocType | Volume |
Convolution,Joints,Task analysis,Feature extraction,Data models,Bones,Recurrent neural networks | Journal | 32 |
Issue | ISSN | Citations |
5 | 1051-8215 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hui Zheng | 1 | 20 | 9.93 |
| Xin Ming Zhang | 2 | 171 | 23.29 |