期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 3, 页码 1619-1631出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.07.083
关键词
Computer vision; Background subtraction; Background reconstruction; Background maintenance; Background update; Vehicle detection; Traffic surveillance; Tracking
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. (C) 2010 Elsevier Ltd. All rights reserved.
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