Attention‐based spatial–temporal hierarchical ConvLSTM network for action recognition in videos
Human action recognition in videos is an important research topic in computer vision due to its wide applications. Actions naturally contain both spatial and temporal information. The key to action recognition is to model the spatial and temporal structures of actions. In this study, the authors pro...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-12-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2018.5830 |