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dc.contributor.authorTai, Jen-Chaoen_US
dc.contributor.authorSong, Kai-Taien_US
dc.date.accessioned2014-12-08T15:48:24Z-
dc.date.available2014-12-08T15:48:24Z-
dc.date.issued2010-09-01en_US
dc.identifier.issn0253-3839en_US
dc.identifier.urihttp://dx.doi.org/10.1080/02533839.2010.9671681en_US
dc.identifier.urihttp://hdl.handle.net/11536/32241-
dc.description.abstractImage tracking has increasingly gained attention for use in vision-based traffic monitoring and surveillance applications. For many cities in Asia countries, it is desirable to detect multiple motorcycles as well as cars for urban traffic monitoring and enforcement. In this paper, a novel contour initialization and tracking algorithm is presented to track multiple motorcycles and vehicles at any position on the roadway. This method has the capability to detect moving vehicles of various sizes and to generate their initial contours for image tracking. The proposed method is not constrained by lane boundaries or vehicle size. To track vehicles on roadways, dynamic models are designed to predict the horizontal and vertical positions of vehicle contours. A Kalman filter is designed to update the prediction based on real-time image measurement. Practical experimental studies using video clips are presented to evaluate the performance of the proposed method. Traffic parameters such as traffic flow, vehicle speeds and traffic density are obtained with satisfactory accuracy.en_US
dc.language.isoen_USen_US
dc.subjecttraffic monitoringen_US
dc.subjectactive contour modelen_US
dc.subjectKalman filteren_US
dc.subjectimage trackingen_US
dc.titleIMAGE TRACKING OF MOTORCYCLES AND VEHICLES ON URBAN ROADS AND ITS APPLICATION TO TRAFFIC MONITORING AND ENFORCEMENTen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/02533839.2010.9671681en_US
dc.identifier.journalJOURNAL OF THE CHINESE INSTITUTE OF ENGINEERSen_US
dc.citation.volume33en_US
dc.citation.issue6en_US
dc.citation.spage923en_US
dc.citation.epage933en_US
dc.contributor.department電機工程學系zh_TW
dc.contributor.departmentDepartment of Electrical and Computer Engineeringen_US
dc.identifier.wosnumberWOS:000282911100014-
dc.citation.woscount0-
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