Multi-Label Multi-Class Action Recognition With Deep Spatio-Temporal Layers Based on Temporal Gaussian Mixtures
Current action recognition studies enjoy the benefits of two neural network branches, spatial and temporal. This work aims to extend the previous work by introducing a fusion of spatial and temporal branches to provide superior action recognition capability toward multi-label multi-class classificat...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9203837/ |