The Use of Computer Vision in Monitoring Weaving Sections

Masoud, O; Papanikolopoulos, NP; Kwon, E

dc.contributor.author	Masoud, O	en
dc.contributor.author	Papanikolopoulos, NP	en
dc.contributor.author	Kwon, E	en
dc.date.accessioned	2014-03-01T01:17:16Z
dc.date.available	2014-03-01T01:17:16Z
dc.date.issued	2001	en
dc.identifier.issn	15249050	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14423
dc.subject	Vehicle detection	en
dc.subject	Vision-based vehicle tracking	en
dc.subject	Weaving sections	en
dc.title	The Use of Computer Vision in Monitoring Weaving Sections	en
heal.type	journalArticle	en
heal.identifier.primary	10.1109/6979.911082	en
heal.identifier.secondary	http://dx.doi.org/10.1109/6979.911082	en
heal.publicationDate	2001	en
heal.abstract	This paper presents algorithms for vision-based monitoring of weaving sections. These algorithms have been developed for the Minnesota Department of Transportation in order to acquire data for several weaving sections in the Twin Cities area. Unlike commercially available systems, the proposed algorithms can track and count vehicles as they change lanes. Furthermore, they provide the velocity and the direction of each vehicle in the weaving section. Experimental results from various weaving sections under various weather conditions are presented. The proposed methods are based on the establishment of correspondences among blobs and vehicles as the vehicles move through the weaving section. The blob tracking problem is formulated as a bipartite graph optimization problem.	en
heal.journalName	IEEE Transactions on Intelligent Transportation Systems	en
dc.identifier.doi	10.1109/6979.911082	en
dc.identifier.volume	2	en
dc.identifier.issue	1	en
dc.identifier.spage	18	en
dc.identifier.epage	25	en