Retrieval in Long Surveillance Videos using User-Described Motion & Object Attributes

Abstract

We present a content-based retrieval method for long surveillance videos in wide-area (Airborne) and near-field (CCTV) imagery. Our goal is to retrieve video segments, with a focus on detecting objects moving on routes, that match user-defined events of interest. The sheer size and remote locations where surveillance videos are acquired necessitates highly… (More)

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Cite this paper

@inproceedings{Castan2015RetrievalIL, title={Retrieval in Long Surveillance Videos using User-Described Motion & Object Attributes}, author={Greg Casta{\~n}{\'o}n and Mohamed A. Elgharib and Venkatesh Saligrama and Pierre-Marc Jodoin}, year={2015} }