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The Surveillance Network Augmented by Retrieval (SUNAR) Event Detection system, inherits the single-camera functionality of SUNAR - an information retrieval based wide area (video) surveillance system being developed at FIT, Brno University of Technology. It contains both standard and experimental techniques evaluated at the AVSS 2009/10 Multi-Camera Tracking Challenge and TRECVid 2012 (SED pilot). We have deployed active learning functionality based on moving objects' trajectory statistics and shape classification using VTApi (Video Terror Application programming interface), which was created to unify and accelerate the intelligent vision applications development.
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