Conditional models for contextual human motion recognition

@article{Sminchisescu2005ConditionalMF,
  title={Conditional models for contextual human motion recognition},
  author={Cristian Sminchisescu and Atul Kanaujia and Dimitris N. Metaxas},
  journal={Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1},
  year={2005},
  volume={2},
  pages={1808-1815 Vol. 2}
}
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative conditional random field (CRF) and maximum entropy Markov models (MEMM). Existing approaches to this problem typically use generative (joint) structures like the hidden Markov model (HMM). Therefore they have to make simplifying, often unrealistic assumptions on the conditional independence of observations given the motion class labels and cannot accommodate overlapping features or long term… CONTINUE READING
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Conditional models for contextual human motion recognition

  • C. Sminchisescu, A. Kanaujia, Z. Li, D. Metaxas
  • in: IEEE International Conference on Computer…
  • 2005

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