Modeling Image Variability in Appearance-Based Gesture Recognition

@inproceedings{Dreuw2006ModelingIV,
  title={Modeling Image Variability in Appearance-Based Gesture Recognition},
  author={Philippe Dreuw and Thomas Deselaers and Daniel Keysers and Hermann Ney},
  year={2006}
}
We introduce the use of appearance-based features in hidden Markov model emission probabilities to recognize dynamic gestures. Tangent distance and the image distortion model are used to directly model image variability in videos. No explicit hand models and no segmentation of the hand is necessary. Different appearance-based features are investigated and the invariant distance measures are systematically evaluated. The approach is evaluated for three tasks of strongly varying difficulty and… CONTINUE READING
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