Propagating Certainty in Petri Nets for Activity Recognition

  title={Propagating Certainty in Petri Nets for Activity Recognition},
  author={Gal Lavee and Michael Rudzsky and Ehud Rivlin},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
This paper considers the problem of recognizing activities as they occur in surveillance video. Activities are high-level nonatomic semantic concepts which may have complex temporal structure. Activities are not easily identifiable using image features, but rather by the recognition of their composing events. Unfortunately, these composing events may only be observed up to a particular certainty. This paper describes particle filter Petri Net (PFPN), an activity recognition process that… CONTINUE READING

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Multiagent event recognition in structured scenarios

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