Robust abandoned object detection integrating wide area visual surveillance and social context

Authors:
James Ferryman;David Hogg;Jan Sochman;Ardhendu Behera;José A. Rodriguez-Serrano;Simon Worgan;Longzhen Li;Valerie Leung;Murray Evans;Philippe Cornic;StéPhane Herbin;Stefan Schlenger;Michael Dose
Affiliations:
Computational Vision Group, School of Systems Engineering, University of Reading, RG6 6AY, UK;School of Computing, University of Leeds, LS2 9JT UK;Centre for Machine Perception, Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University, Karlovo namesti 13, 121 35 Praha 2, Czech Republic;School of Computing, University of Leeds, LS2 9JT UK;Xerox Research Centre Europe, 6 Chemin de Maupertuis, 38240 Meylan, France;formerly University of Leeds;Computational Vision Group, School of Systems Engineering, University of Reading, RG6 6AY, UK;MathWorks, Les Montalets, 2 rue de Paris, 92190 Meudon, France;Computational Vision Group, School of Systems Engineering, University of Reading, RG6 6AY, UK;Department of Information Processing and Modelling, ONERA, BP 80100, 91123 Palaiseau Cedex, France;Department of Information Processing and Modelling, ONERA, BP 80100, 91123 Palaiseau Cedex, France;L-1 Identity Solutions, Universitaetsstr.160, 44801 Bochum, Germany;L-1 Identity Solutions, Universitaetsstr.160, 44801 Bochum, Germany
Venue:
Pattern Recognition Letters
Year:
2013

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Abstract

This paper presents a video surveillance framework that robustly and efficiently detects abandoned objects in surveillance scenes. The framework is based on a novel threat assessment algorithm which combines the concept of ownership with automatic understanding of social relations in order to infer abandonment of objects. Implementation is achieved through development of a logic-based inference engine based on Prolog. Threat detection performance is conducted by testing against a range of datasets describing realistic situations and demonstrates a reduction in the number of false alarms generated. The proposed system represents the approach employed in the EU SUBITO project (Surveillance of Unattended Baggage and the Identification and Tracking of the Owner).