Change detection and background update through statistic segmentation for traffic monitoring

Alexandropoulos, T; Loumos, V; Kayafas, E

dc.contributor.author	Alexandropoulos, T	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T02:44:30Z
dc.date.available	2014-03-01T02:44:30Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31855
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-70349459903&partnerID=40&md5=8a7270a01ac65665f463a15442cd215c	en
dc.relation.uri	http://www.informatik.uni-trier.de/~ley/db/conf/sigmap/sigmap2007.html#AlexandropoulosLK07	en
dc.subject	Background update	en
dc.subject	Change detection	en
dc.subject	Highway surveillance	en
dc.subject	Traffic monitoring	en
dc.subject.other	Background estimation	en
dc.subject.other	Background update	en
dc.subject.other	Change detection	en
dc.subject.other	Event notification	en
dc.subject.other	Front end	en
dc.subject.other	Highway surveillance	en
dc.subject.other	Illumination variation	en
dc.subject.other	Intelligent traffic management	en
dc.subject.other	Intelligent transportation systems	en
dc.subject.other	Level fluctuation	en
dc.subject.other	Noise fluctuations	en
dc.subject.other	Noise models	en
dc.subject.other	Operation principles	en
dc.subject.other	Segmentation algorithms	en
dc.subject.other	Segmentation methods	en
dc.subject.other	Time varying	en
dc.subject.other	Traffic conditions	en
dc.subject.other	Traffic monitoring	en
dc.subject.other	Feature extraction	en
dc.subject.other	Highway traffic control	en
dc.subject.other	Image processing	en
dc.subject.other	Intelligent vehicle highway systems	en
dc.subject.other	Monitoring	en
dc.subject.other	Motor transportation	en
dc.subject.other	Multimedia signal processing	en
dc.subject.other	Multimedia systems	en
dc.subject.other	Security systems	en
dc.subject.other	Signal processing	en
dc.subject.other	Traffic signals	en
dc.subject.other	Vehicle locating systems	en
dc.subject.other	Signal detection	en
dc.title	Change detection and background update through statistic segmentation for traffic monitoring	en
heal.type	conferenceItem	en
heal.publicationDate	2007	en
heal.abstract	Recent advances in computer imaging have led to the emergence of video-based surveillance as a monitoring solution in Intelligent Transportation Systems (ITS). The deployment of CCTV infrastructure in highway scenes facilitates the evaluation of traffic conditions. However, the majority of video-based ITS are restricted to manual assessment and lack the ability to support automatic event notification. This is due to the fact that, the effective operation of intelligent traffic management relies strongly on the performance of an image processing front end, which performs change detection and background update. Each one of these tasks needs to cope with specific challenges. Change detection is required to perform the effective isolation of content changes from noise-level fluctuations, while background update needs to adapt to time-varying lighting variations, without incorporating stationary occlusions to the background. This paper presents the operation principle of a video-based ITS front end. A block-based statistic segmentation method for feature extraction in highway scenes is analyzed. The presented segmentation algorithm focuses on the estimation of the noise model. The extracted noise model is utilized in change detection in order to separate content changes from noise fluctuations. Additionally, a statistic background estimation method, which adapts to gradual illumination variations, is presented.	en
heal.journalName	SIGMAP 2007 - International Conference on Signal Processing and Multimedia Applications, Proceedings	en
dc.identifier.spage	261	en
dc.identifier.epage	268	en