Gesture recognition using a probabilistic framework for pose matching

@inproceedings{Elgammal2002GestureRU,
  title={Gesture recognition using a probabilistic framework for pose matching},
  author={Ahmed M. Elgammal and Vhay Shet and Yaser Yacoob and Larry S. Davis},
  booktitle={ICARCV},
  year={2002}
}
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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References

Publications referenced by this paper.
Showing 1-10 of 17 references

A tutorial on hidden markov models and selected applications in speech recognition

  • T. Kanade
  • IEEE International Conference on Computer & on…
  • 2000

Metaxas . Parallel hidden markov models for american sign language recognition

  • Christian Vogler, N Dimitris
  • In ICCV ( 1 )
  • 1999

A probabilistic formulation for hausdofl matching

  • Clark F. Olson
  • IEEE Transactions on Image Processing
  • 1997

Approximate hausdorff matching using eigenspaces

  • H. Lilien, Clark F. Olson
  • In ARRA Image Understanding Workshop
  • 1996

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