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Multi-surface analysis for human action recognition in video

The majority of methods for recognizing human actions are based on single-view video or multi-camera data. In this paper, we propose a novel multi-surface video analysis strategy. The video can be expressed as three-surface motion feature (3SMF) and spatio-temporal interest feature. 3SMF is extracte...

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Détails bibliographiques
Publié dans:Springerplus
Auteurs principaux: Zhang, Hong-Bo, Lei, Qing, Zhong, Bi-Neng, Du, Ji-Xiang, Peng, Jialin, Hsiao, Tsung-Chih, Chen, Duan-Sheng
Format: Artigo
Langue:Inglês
Publié: Springer International Publishing 2016
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC4971009/
https://ncbi.nlm.nih.gov/pubmed/27536510
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s40064-016-2876-z
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