Feature extraction on highways under time-varying illumination conditions

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	2014-03-01T01:30:40Z
dc.date.available	2014-03-01T01:30:40Z
dc.date.issued	2009	en
dc.identifier.issn	1547-2450	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/19611
dc.subject	Background Update	en
dc.subject	Change Detection	en
dc.subject	Feature Extraction	en
dc.subject	Highway Monitoring	en
dc.subject	Statistic Segmentation	en
dc.subject.classification	Transportation Science & Technology	en
dc.subject.other	Background adaptation	en
dc.subject.other	Background Update	en
dc.subject.other	Change Detection	en
dc.subject.other	Feature extractor	en
dc.subject.other	Highway Monitoring	en
dc.subject.other	Human operator	en
dc.subject.other	Illumination conditions	en
dc.subject.other	Image domain	en
dc.subject.other	Image processing algorithm	en
dc.subject.other	Imaging hardware	en
dc.subject.other	Intelligent transportation systems	en
dc.subject.other	Notification systems	en
dc.subject.other	Object based	en
dc.subject.other	Operation principles	en
dc.subject.other	Scene change	en
dc.subject.other	Segmentation methods	en
dc.subject.other	Sensor noise	en
dc.subject.other	Surveillance systems	en
dc.subject.other	Time varying	en
dc.subject.other	Traffic conditions	en
dc.subject.other	Traffic monitoring	en
dc.subject.other	Computer hardware	en
dc.subject.other	Edge detection	en
dc.subject.other	Image processing	en
dc.subject.other	Intelligent vehicle highway systems	en
dc.subject.other	Mathematical operators	en
dc.subject.other	Motor transportation	en
dc.subject.other	Security systems	en
dc.subject.other	Signal detection	en
dc.subject.other	Vehicle locating systems	en
dc.subject.other	Feature extraction	en
dc.subject.other	algorithm	en
dc.subject.other	image processing	en
dc.subject.other	imaging method	en
dc.subject.other	motorway	en
dc.subject.other	sensor	en
dc.subject.other	signal-to-noise ratio	en
dc.subject.other	traffic management	en
dc.subject.other	transportation system	en
dc.title	Feature extraction on highways under time-varying illumination conditions	en
heal.type	journalArticle	en
heal.identifier.primary	10.1080/15472450902858392	en
heal.identifier.secondary	http://dx.doi.org/10.1080/15472450902858392	en
heal.language	English	en
heal.publicationDate	2009	en
heal.abstract	Video-based surveillance systems have been introduced in highway monitoring as a means of enabling the assessment of traffic conditions by human operators; however, the ongoing development in the aspects of computer imaging hardware and image processing algorithms motivated the interest for the implementation of autonomous highway monitoring and notification systems. An intelligent traffic monitoring implementation demands an efficient video-based front-end, which performs feature extraction in the image domain. The utilized front-end is required to operate flawlessly in the presence of sensor noise and under time varying illumination conditions. The present article analyzes the operation principles of a video-based feature extractor intended for utilization in visual intelligent transportation systems. The proposed implementation performs feature extraction through the application of a block-based statistic segmentation method. Additionally, the algorithm adapts to scene changes. The background adaptation method combines the results of block-based segmentation with a statistic object-based refinement stage which takes into account edge-related metrics.	en
heal.publisher	TAYLOR & FRANCIS INC	en
heal.journalName	Journal of Intelligent Transportation Systems: Technology, Planning, and Operations	en
dc.identifier.doi	10.1080/15472450902858392	en
dc.identifier.isi	ISI:000265646400003	en
dc.identifier.volume	13	en
dc.identifier.issue	2	en
dc.identifier.spage	85	en
dc.identifier.epage	96	en