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Object tracking is a classic problem in the computer vision field. Its main purpose is to get the locations, the motion parameters, the trajectories and other information of the objects from the videos. An Adaboost tracking algorithm based on the particle framework is proposed in this paper. Due to the existence of high noises in the training samples, the difficulty of the AdaBoost training and the...
Due to the rapid development of motion capture technology, more and more human motion databases appear. In order to effectively and efficiently manage human motion database, human motion classification is necessary. In this paper, we propose an ensemble based human motion classification approach (EHMCA). Specifically, EHMCA first extracts the descriptors from human motion sequences. Then, singular...
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