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This paper proposes an innovative and effective hybrid way to recognize human interactions, which incorporates the advantages of both global feature (Motion Context, MC) and Spatio-Temporal (S-T) correlation of local Spatio-Temporal Interest Points (STIPs). The MC feature, which also derives from STIPs, is used to train a random forest where Genetic Algorithm (GA) is applied to the training phase...
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