A background subtraction algorithm for detecting and tracking vehicles

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dc.contributor.author Mandellos, NA en
dc.contributor.author Keramitsoglou, I en
dc.contributor.author Kiranoudis, CT en
dc.date.accessioned 2014-03-01T01:34:51Z
dc.date.available 2014-03-01T01:34:51Z
dc.date.issued 2011 en
dc.identifier.issn 0957-4174 en
dc.identifier.uri http://hdl.handle.net/123456789/20899
dc.subject Background maintenance en
dc.subject Background reconstruction en
dc.subject Background subtraction en
dc.subject Background update en
dc.subject Computer vision en
dc.subject Tracking en
dc.subject Traffic surveillance en
dc.subject Vehicle detection en
dc.subject.classification Computer Science, Artificial Intelligence en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.classification Operations Research & Management Science en
dc.subject.other Background maintenance en
dc.subject.other Background reconstruction en
dc.subject.other Background subtraction en
dc.subject.other Background update en
dc.subject.other Tracking en
dc.subject.other Traffic surveillance en
dc.subject.other Vehicle detection en
dc.subject.other Algorithms en
dc.subject.other Image segmentation en
dc.subject.other Maintenance en
dc.subject.other Monitoring en
dc.subject.other Motor transportation en
dc.subject.other Traffic congestion en
dc.subject.other Vehicles en
dc.subject.other Computer vision en
dc.title A background subtraction algorithm for detecting and tracking vehicles en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.eswa.2010.07.083 en
heal.identifier.secondary http://dx.doi.org/10.1016/j.eswa.2010.07.083 en
heal.language English en
heal.publicationDate 2011 en
heal.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. (C) 2010 Elsevier Ltd. All rights reserved. en
heal.journalName Expert Systems with Applications en
dc.identifier.doi 10.1016/j.eswa.2010.07.083 en
dc.identifier.isi ISI:000284863200039 en
dc.identifier.volume 38 en
dc.identifier.issue 3 en
dc.identifier.spage 1619 en
dc.identifier.epage 1631 en

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