Human-Computer Interaction Using Robust Gesture Recognition

@inproceedings{Endler2014HumanComputerIU,
  title={Human-Computer Interaction Using Robust Gesture Recognition},
  author={Matthias Endler and Oleg Lobachev and Michael Guthe},
  year={2014}
}
We present a detector cascade for robust real-time tracking of hand movements on consumer-level hardware. We adapt existing detectors to our setting: Haar, CAMSHIFT, shape detector, skin detector. We use all these detectors at once. Our main contributions are: first, utilization of bootstrapping: Haar bootstraps itself, then its results are used to bootstrap the other filters; second, the usage of temporal filtering for more robust detection and to remove outliers; third, we adapted the… CONTINUE READING

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Hand gesture recognition by using logical heuristics

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  • Technical Report 25, Japan Advanced Institute of…
  • 2012
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