Exploiting Human Actions and Object Context for Recognition Tasks

@inproceedings{Moore1999ExploitingHA,
  title={Exploiting Human Actions and Object Context for Recognition Tasks},
  author={Darnell J. Moore and Irfan A. Essa and Monson H. Hayes},
  booktitle={ICCV},
  year={1999}
}
Our goal is to exploit human motion and object context to perform action recognition and object classification. Towards this end, we introduce a framework for recognizing actions and objects by measuring image-, objectand action-based information from video. Hidden Markov models are combined with object context to classify hand actions, which are aggregated by a Bayesian classifier to summarize activities. We also use Bayesian methods to differentiate the class of unknown objects by evaluating… CONTINUE READING
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