Human Action Recognition With Multiple-Instance Markov Model

  title={Human Action Recognition With Multiple-Instance Markov Model},
  author={Wen Zhou and Zhong Zhang},
  journal={IEEE Transactions on Information Forensics and Security},
Recognizing human actions in complex scenes is a challenging problem due to background clutters, camera motion, occlusions, and illumination variations. Markov models are widely used to model temporal statistical relationships among elementary actions for human action recognition. However, traditional Markov models cannot model long-range temporal relations for complex activities, and the states of elementary actions may be unstable due to unwanted background local features. In this paper, we… CONTINUE READING
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