Path Modeling and Retrieval in Distributed Video Surveillance Databases

@article{Presti2012PathMA,
  title={Path Modeling and Retrieval in Distributed Video Surveillance Databases},
  author={Liliana Lo Presti and Stan Sclaroff and Marco La Cascia},
  journal={IEEE Transactions on Multimedia},
  year={2012},
  volume={14},
  pages={346-360}
}
We propose a framework for querying a distributed database of video surveillance data in order to retrieve a set of likely paths of a person moving in the area under surveillance. In our framework, each camera of the surveillance system locally processes the data and stores video sequences in a storage unit and the metadata for each detected person in the distributed database. A pedestrian's path is formulated as a dynamic Bayesian network (DBN) to model the dependencies between subsequent… CONTINUE READING
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