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Multi-person tracking and detection is widely used in human robot interaction, which has been a hot topic in computer vision. In this paper, we utilize a tracking-by-detection framework to track many persons at the same time. We use HOG and LBP features to describe person's characteristics in a scene and train a strong classifier using Adaboost algorithm. In the tracking part, we use a particle filter...
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