Name
Abstract | ||
|---|---|---|
•A thorough overview of human action and interaction recognition using RGB-D sensors is presented.•A comprehensive analysis of both hand-crafted and deep learning based methods is conducted.•The challenges of human activity recognition using RGB-D data and existing solutions are discussed. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2019.05.020 | Pattern Recognition |
Keywords | Field | DocType |
Survey,RGB-D sensing,Action recognition,Interaction recognition,Deep learning | Activity recognition,Action recognition,Human interaction,RGB color model,Artificial intelligence,Deep learning,Mathematics,Machine learning | Journal |
Volume | Issue | ISSN |
94 | 1 | 0031-3203 |
Citations | PageRank | References |
5 | 0.41 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bangli Liu | 1 | 11 | 2.85 |
| Haibin Cai | 2 | 38 | 6.46 |
| Zhaojie Ju | 3 | 284 | 48.23 |
| Honghai Liu | 4 | 1974 | 178.69 |