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A human action recognition method is introduced that detects a set of actions in videos by a temporal expansion with hidden Markov models of a pose detection with an artificial neural network. The method was set-up and tested using eleven actions from the MOCAP motion capture database comprising 3,947 frames. A poses alphabet of fourteen relevant poses was defined to be learned by an artificial neural...
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