Dynamic Manifold Warping for view invariant action recognition

@article{Gong2011DynamicMW,
  title={Dynamic Manifold Warping for view invariant action recognition},
  author={Dian Gong and G{\'e}rard G. Medioni},
  journal={2011 International Conference on Computer Vision},
  year={2011},
  pages={571-578}
}
We address the problem of learning view-invariant 3D models of human motion from motion capture data, in order to recognize human actions from a monocular video sequence with arbitrary viewpoint. We propose a Spatio-Temporal Manifold (STM) model to analyze non-linear multivariate time series with latent spatial structure and apply it to recognize actions in the joint-trajectories space. Based on STM, a novel alignment algorithm Dynamic Manifold Warping (DMW) and a robust motion similarity… CONTINUE READING
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