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Human activity is a persistent subject of interest in the last decade. On the one hand, video sequences provide a huge volume of motion information in order to recognize the human active actions. On the other hand, the spatial information about static human poses is valuable for human action recognition. Poselets were introduced as latent variables representing a configuration for mutual locations of body parts and allowing different views of description. In current research, some modificationsdoi:10.5194/isprsarchives-xl-5-w6-51-2015 fatcat:j5tflaktljcetfwjpyodygeiku