Name
Title | ||
|---|---|---|
Skeleton-Based Action Recognition Using Spatio-Temporal LSTM Network with Trust Gates. |
Abstract | ||
|---|---|---|
Skeleton-based human action recognition has attracted a lot of research attention during the past few years. Recent works attempted to utilize recurrent neural networks to model the temporal dependencies between the 3D positional configurations of human body joints for better analysis of human activities in the skeletal data. The proposed work extends this idea to spatial domain as well as tempora... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TPAMI.2017.2771306 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Logic gates,Recurrent neural networks,Spatiotemporal phenomena,Three-dimensional displays,Feature extraction,Hidden Markov models | Journal | 40 |
Issue | ISSN | Citations |
12 | 0162-8828 | 60 |
PageRank | References | Authors |
1.40 | 52 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Liu | 1 | 671 | 30.44 |
| Shahroudy, A. | 2 | 585 | 13.84 |
| Dong Xu | 3 | 7616 | 291.96 |
| Alex C. Kot | 4 | 1096 | 92.07 |
| Gang Wang | 5 | 2869 | 135.49 |