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The recognition of nonrigid motion, particularly that arising from human movement (and by extension from the locomotory activity of animals) has typically made use of high-level parametric models representing the various body parts (legs, arms, trunk, head etc.) and their connections to each other. Such model-based recognition has been successful in some(More)
The recognition of repetitive movements characteristic of walking people, galloping horses, or ying birds is a routine function of the human visual system. It has been demonstrated that humans can recognize such activity solely on the basis of motion information. We present a novel computational approach for detecting such activities in real image sequences(More)
The recognition of human movements such as walking , running or climbing has been approached p r evi-ously by tracking a number of feature p oints and either classifying the trajectories directly or matching them with a high-level model of the movement. A major diiculty with these methods is acquiring and tracking the requisite feature p oints, which are(More)
The recognition of repetitive movements characteristic of walking people, galloping horses, or ying birds i s a r outine function of the human visual system. It has been demonstrated that humans can recognize such activity solely on the basis of motion information. We demonstrate a general computational method f o r r ecog-nizing such movements in real(More)
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