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Towards a real-time situational awareness system for surveillance applications in unconstrained environments

By David Münch, Stefan Becker, Wolfgang Hübner and Michael Arens

Abstract

Observing public spaces like car parks, airports, and train stations via video surveillance is an extremely tedious and error-prone activity for human operators. A generic real-time system is presented which closes the situational awareness loop from basic object detection, object tracking and conceptual situation recognition. The situation recognition is implemented as formal knowledge-based reasoning approach. In order to process information about objects in a scene a sophisticated multiperson tracker was integrated. The person tracking relies on local features. For person representation a generalized appearance codebook is used. The whole system is parallelized to gain real-time performance on ordinary hardware. The proposed system was evaluated on data reecting a prototypical surveillance scenario and promises practical results

Topics: ISM-based tracking, situational awareness, real-time system
Year: 2012
DOI identifier: 10.1007/978-3-642-33161-9_76
OAI identifier: oai:fraunhofer.de:N-214063
Provided by: Fraunhofer-ePrints
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