A background subtraction algorithm for detecting and tracking vehicles

Authors:
Nicholas A. Mandellos;Iphigenia Keramitsoglou;Chris T. Kiranoudis
Affiliations:
Department of Process Analysis and Systems Design, National Technical University of Athens, GR-15780 Athens, Greece;Institute for Space Applications and Remote Sensing, National Observatory of Athens, Metaxa & Vas. Pavlou, GR-15236 Athens, Greece;Department of Process Analysis and Systems Design, National Technical University of Athens, GR-15780 Athens, Greece
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

An innovative system for detecting and extracting vehicles in traffic surveillance scenes is presented. This system involves locating moving objects present in complex road scenes by implementing an advanced background subtraction methodology. The innovation concerns a histogram-based filtering procedure, which collects scatter background information carried in a series of frames, at pixel level, generating reliable instances of the actual background. The proposed algorithm reconstructs a background instance on demand under any traffic conditions. The background reconstruction algorithm demonstrated a rather robust performance in various operating conditions including unstable lighting, different view-angles and congestion.