Human Activities Recognition Based on Skeleton Information via Sparse Representation

Human activities recognition is a challenging task due to its complexity of human movements and the variety performed by different subjects for the same action. This paper presents a recognition algorithm by using skeleton information generated from depth maps. Concatenating motion features and temp...

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Veröffentlicht in:Journal of computing science and engineering : JCSE 2018, Vol.12 (1), p.1-11
Hauptverfasser: Liu, Suolan, Kong, Lizhi, Wang, Hongyuan
Format: Artikel
Sprache:kor
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