Human interaction recognition fusing multiple features of depth sequences
Human interaction recognition has played a major role in building intelligent video surveillance systems. Recently, depth data captured by the emerging RGB‐D sensors began to show its importability in human interaction recognition. This study proposes a novel framework for human interaction recognit...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-10-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2017.0025 |