Discriminative density propagation for 3D human motion estimation

@article{Sminchisescu2005DiscriminativeDP,
  title={Discriminative density propagation for 3D human motion estimation},
  author={Cristian Sminchisescu and Atul Kanaujia and Zhiguo Li and Dimitris N. Metaxas},
  journal={2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05)},
  year={2005},
  volume={1},
  pages={390-397 vol. 1}
}
We describe a mixture density propagation algorithm to estimate 3D human motion in monocular video sequences based on observations encoding the appearance of image silhouettes. Our approach is discriminative rather than generative, therefore it does not require the probabilistic inversion of a predictive observation model. Instead, it uses a large human motion capture data-base and a 3D computer graphics human model in order to synthesize training pairs of typical human configurations together… CONTINUE READING
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