Ramprasad Polana

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The recognition of human movements such as walk ing running or climbing has been approached previ ously by tracking a number of feature points and either classifying the trajectories directly or matching them with a high level model of the movement A major di culty with these methods is acquiring and tracking the requisite feature points which are generally(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 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 character istic 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 demonstrate a general computational method for recog nizing such movements in real image(More)
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