HUMAN MOTION ANALYSIS: METHOD OLOGIES AND APPLICATIONS

The study of motion is one of the most interesting and active areas in Computational Vision, particularly considering the human motion. Human motion analysis usually follows a general framework: feature extraction, where the identification of the objects characteristics to be analyzed in the image frames is made; feature correspondence, where the problem of matching features between consecutive frames is approached; and finally high level processing can be considered, for instance, in the recognition of human movements, activities or poses. In this paper, we present a review about the leading computational techniques used in human motion analysis and some of their main applications.

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