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Multi-Scale Locality-Constrained Spatiotemporal Coding for Local Feature Based Human Action Recognition
2013
The Scientific World Journal
We propose a Multiscale Locality-Constrained Spatiotemporal Coding (MLSC) method to improve the traditional bag of features (BoF) algorithm which ignores the spatiotemporal relationship of local features for human action recognition in video. To model this spatiotemporal relationship, MLSC involves the spatiotemporal position of local feature into feature coding processing. It projects local features into a sub space-time-volume (sub-STV) and encodes them with a locality-constrained linear
doi:10.1155/2013/405645
pmid:24194681
pmcid:PMC3806242
fatcat:3g2upm6ovfeh3djvomp4r6r2be