Behaviour detection in crowded classroom scenes via enhancing features robust to scale and perspective variations
Abstract Detecting human behaviours in images of crowded classroom scenes is a challenging task, due to the large variations of humans in scale and pose perspective. In this paper, two modules are proposed to tackle these two variations. First, an attention‐based RoI (region‐of‐interest) extractor i...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Wiley
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/e18bac49cba44e608faa4e3b7caa524d |
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