Intelligent traffic management through MPEG-7 vehicle flow surveillance

Anagnostopoulos, C; Alexandropoulos, T; Loumos, V; Kayafas, E

dc.contributor.author	Anagnostopoulos, C	en
dc.contributor.author	Alexandropoulos, T	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T02:44:04Z
dc.date.available	2014-03-01T02:44:04Z
dc.date.issued	2006	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/31658
dc.subject	Change detection	en
dc.subject	Event detection	en
dc.subject	Highway surveillance	en
dc.subject	License plate recognition	en
dc.subject	Traffic management	en
dc.subject	Vehicle re-identification	en
dc.subject.other	Change detection	en
dc.subject.other	Event detection	en
dc.subject.other	Highway surveillance	en
dc.subject.other	License plate recognition	en
dc.subject.other	Traffic management	en
dc.subject.other	Vehicle reidentification	en
dc.subject.other	Feature extraction	en
dc.subject.other	Image analysis	en
dc.subject.other	Intelligent vehicle highway systems	en
dc.subject.other	Motion Picture Experts Group standards	en
dc.subject.other	Wireless sensor networks	en
dc.subject.other	Highway traffic control	en
dc.title	Intelligent traffic management through MPEG-7 vehicle flow surveillance	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/JVA.2006.30	en
heal.identifier.secondary	http://dx.doi.org/10.1109/JVA.2006.30	en
heal.identifier.secondary	4022062	en
heal.publicationDate	2006	en
heal.abstract	Recent development in the aspects of low-level image processing for feature extraction, as well as in the standardization of description schemes for video description, provide means for the development of Intelligent Transportation Systems. ITS may support a wide range of abilities, including vehicle identification and identification, event detection and optimum resource management. This paper analyzes the structure operation principles and the structure of an integrated highway management system. Its operation is based on the combination of sensor networks, low-level image processing algorithms and high-level description schemes. Low-level algorithms perform the tasks of license plate recognition for vehicle identification, as well as feature extraction through change detection, for event detection purposes. High level schemes are based on the recently developed YIPEG-7 Description Schemes and are utilized as an information processing framework, which formulates identification and event representation procedures. © 2006 IEEE.	en
heal.journalName	Proceedings - IEEE John Vincent Atanasoff 2006 International Symposium on Modern Computing, JVA 2006	en
dc.identifier.doi	10.1109/JVA.2006.30	en
dc.identifier.spage	202	en
dc.identifier.epage	207	en