Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models

@article{Shi2010HumanAS,
  title={Human Action Segmentation and Recognition Using Discriminative Semi-Markov Models},
  author={Qinfeng Shi and Li Cheng and Li Wang and Alexander J. Smola},
  journal={International Journal of Computer Vision},
  year={2010},
  volume={93},
  pages={22-32}
}
A challenging problem in human action understanding is to jointly segment and recognize human actions from an unseen video sequence, where one person performs a sequence of continuous actions.In this paper, we propose a discriminative semi-Markov model approach, and define a set of features over boundary frames, segments, as well as neighboring segments. This enable us to conveniently capture a combination of local and global features that best represent each specific action type. To… CONTINUE READING

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