This paper gives a thorough overview of an indexing and browsing platform called UrbanVIEW, aimed at providing police forces and security officers with advanced tools to efficiently browse large video surveillance databases for investigation purposes. The indexing strategy relies on the systematic detection, tracking and characterization of all observed moving objects. Semantic queries on object class, aspect and behaviour are used to access relevant video shots. Once a first observation of an object of interest has been found, it can be forward and backward tracked thanks to a dedicated multi-stream video player taking into account the multi-camera context. The platform has been assessed on the NGSIM dataset which consists of real heavy traffic images, showing both high recall and high detection rates in its retrieval capabilities despite poor image quality.
UrbanVIEW: Plate-forme d'indexation et d'exploitation d'archives de videos urbaines
Article (Journal)
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