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Action recognition with multiscale spatio-temporal contexts
2011
CVPR 2011
The popular bag of words approach for action recognition is based on the classifying quantized local features density. This approach focuses excessively on the local features but discards all information about the interactions among them. Local features themselves may not be discriminative enough, but combined with their contexts, they can be very useful for the recognition of some actions. In this paper, we present a novel representation that captures contextual interactions between interest
doi:10.1109/cvpr.2011.5995493
dblp:conf/cvpr/WangCW11
fatcat:msqd4ll2abhqlc6k53y32m2zim