A group sparsity-driven approach to 3-D action recognition

In this paper, a novel 3-D action recognition method based on sparse representation is presented. Silhouette images from multiple cameras are combined to obtain motion history volumes (MHVs). Cylindrical Fourier transform of MHVs is used as action descriptors. We assume that a test sample has a spar...

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Bibliographische Detailangaben

Hauptverfasser:	Cosar, S., Cetin, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Accuracy Cameras History Noise Principal component analysis Strontium Training
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