View-invariant gesture recognition using 3D optical flow and harmonic motion context

@article{Holte2010ViewinvariantGR,
  title={View-invariant gesture recognition using 3D optical flow and harmonic motion context},
  author={Michael B. Holte and Thomas B. Moeslund and Preben Fihl},
  journal={Computer Vision and Image Understanding},
  year={2010},
  volume={114},
  pages={1353-1361}
}
This paper presents an approach for view-invariant gesture recognition. The approach is based on 3D data captured by a SwissRanger SR4000 camera. This camera produces both a depth map as well as an intensity image of a scene. Since the two information types are aligned, we can use the intensity image to define a region of interest for the relevant 3D data. This data fusion improves the quality of the motion detection and hence results in better recognition. The gesture recognition is based on… CONTINUE READING
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