Name
Title | ||
|---|---|---|
Human action recognition in RGB-D videos using motion sequence information and deep learning. |
Abstract | ||
|---|---|---|
•An approach to recognize human actions in RGB-D videos using motion sequence information and deep learning is proposed.•Proposed a new representation of motion information for human action recognition that emphasizes motion in various temporal regions.•The use of motion information in RGB and depth video streams.•Analysis using t-SNE visualization of ConvNet features to show the discriminative characteristics of the proposed representation. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.patcog.2017.07.013 | Pattern Recognition |
Keywords | Field | DocType |
Multi-modal action recognition,Deep learning,Motion information,Extreme learning machines | Computer vision,Pattern recognition,Visualization,Convolutional neural network,Computer science,Gesture,Action recognition,RGB color model,Artificial intelligence,Deep learning,Discriminative model,Machine learning | Journal |
Volume | Issue | ISSN |
72 | 1 | 0031-3203 |
Citations | PageRank | References |
17 | 0.67 | 36 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Earnest Paul Ijjina | 1 | 67 | 5.34 |
| C. Krishna Mohan | 2 | 124 | 17.83 |