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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Autores principales: Mingyu Liu, Fanman Meng, Qingbo Wu, Linfeng Xu, Qianghua Liao
Formato: article
Lenguaje:EN
Publicado: Wiley 2021
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Acceso en línea:https://doaj.org/article/e18bac49cba44e608faa4e3b7caa524d
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