Adaptive learning codebook for action recognition

Abstract

Learning a compact and yet discriminative codebook is an important procedure for local feature-based action recognition. A common procedure involves two independent phases: reducing the dimensionality of local features and then performing clustering. Since the two phases are disconnected, dimensionality reduction does not necessarily capture the dimensions… (More)
DOI: 10.1016/j.patrec.2011.03.006

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