Gesture recognition using a probabilistic framework for pose matching

  title={Gesture recognition using a probabilistic framework for pose matching},
  author={Ahmed M. Elgammal and Vhay Shet and Yaser Yacoob and Larry S. Davis},
This paper presents an approach for view-based recognition of gestures. The approach is based on representing each gesture as a sequence of learned body poses. The gestures are recognized through a probabilistic@amework for matching these body poses ana‘for imposing temporal constrains between dzfferent poses. Matching individual poses to image data is pegormed using a probabilistic formulation for edge matching to obtain a likelihood measurement for each individual pose. The paper introduces a… CONTINUE READING
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