Local non-negative component representation for human action recognition

Abstract

The Bag of Words (BOW) method with spatio-temporal interest points has achieved great performance in human action recognition. However the traditional BOW methods based on vector quantization (VQ) suffer serious quantization error and lose masses of information. There are two main reasons leading these: the first is the codebook obtained by k-means has no… (More)

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