Multi‐view human action recognition using 2D motion templates based on MHIs and their HOG description

In this study, a new multi‐view human action recognition approach is proposed by exploiting low‐dimensional motion information of actions. Before feature extraction, pre‐processing steps are performed to remove noise from silhouettes, incurred due to imperfect, but realistic segmentation. Two‐dimens...

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Autors principals:	Fiza Murtaza, Muhammad Haroon Yousaf, Sergio A. Velastin
Format:	Artigo
Idioma:	Inglês
Publicat:	Wiley 2016-10-01
Col·lecció:	IET Computer Vision
Matèries:	multiview human action recognition 2D motion templates low-dimensional action motion information feature extraction silhouette noise removal realistic segmentation
Accés en línia:	https://doi.org/10.1049/iet-cvi.2015.0416
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