Discovery and Segmentation of Activities in Video

@article{Brand2000DiscoveryAS,
  title={Discovery and Segmentation of Activities in Video},
  author={Matthew Brand and Vera M. Kettnaker},
  journal={IEEE Trans. Pattern Anal. Mach. Intell.},
  year={2000},
  volume={22},
  pages={844-851}
}
ÐHidden Markov models (HMMs) have become the workhorses of the monitoring and event recognition literature because they bring to time-series analysis the utility of density estimation and the convenience of dynamic time warping. Once trained, the internals of these models are considered opaque; there is no effort to interpret the hidden states. We show that by minimizing the entropy of the joint distribution, an HMM's internal state machine can be made to organize observed activity into… CONTINUE READING
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