Integrated vehicle recognition and inspection system to improve security in restricted access areas

Anagnostopoulos, CN; Giannoukos, I; Alexandropoulos, T; Psyllos, A; Loumos, V; Kayafas, E

dc.contributor.author	Anagnostopoulos, CN	en
dc.contributor.author	Giannoukos, I	en
dc.contributor.author	Alexandropoulos, T	en
dc.contributor.author	Psyllos, A	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Kayafas, E	en
dc.date.accessioned	2014-03-01T02:46:51Z
dc.date.available	2014-03-01T02:46:51Z
dc.date.issued	2010	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32886
dc.subject	Computer Vision	en
dc.subject	License Plate Recognition	en
dc.subject	National Technical University of Athens	en
dc.subject.other	Automatic license plate recognition	en
dc.subject.other	Computer vision inspection	en
dc.subject.other	Government buildings	en
dc.subject.other	In-vehicle	en
dc.subject.other	Inspection system	en
dc.subject.other	Multimedia technologies	en
dc.subject.other	Technical universities	en
dc.subject.other	Time-consuming process	en
dc.subject.other	Vehicle inspections	en
dc.subject.other	Vehicle recognition	en
dc.subject.other	Computer vision	en
dc.subject.other	Inspection	en
dc.subject.other	Inspection equipment	en
dc.subject.other	Intelligent systems	en
dc.subject.other	Optical character recognition	en
dc.subject.other	Vehicles	en
dc.subject.other	License plates (automobile)	en
dc.title	Integrated vehicle recognition and inspection system to improve security in restricted access areas	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ITSC.2010.5625042	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ITSC.2010.5625042	en
heal.identifier.secondary	5625042	en
heal.publicationDate	2010	en
heal.abstract	Identification of vehicles for security reasons has lately attracted much scientific and commercial attention. In certain areas, such as government buildings, army camps or country borders, the vehicles are inspected before allowed to enter. As this inspection needs to be thorough, it is a rather time-consuming process. To address this issue, this paper proposes a combination of distinct computer vision inspection systems that have been developed in the Multimedia Technology Laboratory of the National Technical University of Athens, to automatically identify a vehicle entering a restricted area. The proposed system includes automatic license plate recognition, vehicle manufacturer/model detection and under-vehicle inspection. Combining the aforementioned methods can help to minimize the limitations of each individual technique and increase security in vehicle inspection. The characteristics, extracted during inspection, can be compared to the actual characteristics of each vehicle, which are acquired off-line and then stored in a vehicle record database. ©2010 IEEE.	en
heal.journalName	IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC	en
dc.identifier.doi	10.1109/ITSC.2010.5625042	en
dc.identifier.spage	1893	en
dc.identifier.epage	1898	en