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Article: An effective video analysis method for detecting red light runners

TitleAn effective video analysis method for detecting red light runners
Authors
KeywordsMotion estimation
Red light camera
Traffic light detection
Video analysis
Issue Date2001
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=25
Citation
Ieee Transactions On Vehicular Technology, 2001, v. 50 n. 4, p. 1074-1084 How to Cite?
AbstractThis paper presents a novel method for automatic red light runner detection on a video, which is fundamentally different from the concept of conventional red light camera systems. In principle, it extracts the state of the traffic lights and vehicle motions without any physical or electronic interconnections to the traffic light control system or the buried loop detectors. Purely from the video, the new method first constructs a traffic light sequence and then it estimates vehicle motions beyond the stop line while the light is red. In the former, the spatial and temporal relationships of individual traffic lights are utilized. In the latter, the concept of virtual loop detector has been introduced to emulate the physical loop detectors. A prototype was implemented based on this method and was tested in a number of field trials. The results show that the new method is able to detect multiple red light runners in multiple lanes. It is also capable of tolerating a number of hostile but realistic situation such as: 1) minimum number of traffic light; 2) pseudomotions due to shadows; 3) poor contrast; 4) pedestrian motions; and 5) turning vehicles.
Persistent Identifierhttp://hdl.handle.net/10722/42903
ISSN
2015 Impact Factor: 2.243
2015 SCImago Journal Rankings: 1.203
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorLai, AHSen_HK
dc.date.accessioned2007-03-23T04:34:22Z-
dc.date.available2007-03-23T04:34:22Z-
dc.date.issued2001en_HK
dc.identifier.citationIeee Transactions On Vehicular Technology, 2001, v. 50 n. 4, p. 1074-1084en_HK
dc.identifier.issn0018-9545en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42903-
dc.description.abstractThis paper presents a novel method for automatic red light runner detection on a video, which is fundamentally different from the concept of conventional red light camera systems. In principle, it extracts the state of the traffic lights and vehicle motions without any physical or electronic interconnections to the traffic light control system or the buried loop detectors. Purely from the video, the new method first constructs a traffic light sequence and then it estimates vehicle motions beyond the stop line while the light is red. In the former, the spatial and temporal relationships of individual traffic lights are utilized. In the latter, the concept of virtual loop detector has been introduced to emulate the physical loop detectors. A prototype was implemented based on this method and was tested in a number of field trials. The results show that the new method is able to detect multiple red light runners in multiple lanes. It is also capable of tolerating a number of hostile but realistic situation such as: 1) minimum number of traffic light; 2) pseudomotions due to shadows; 3) poor contrast; 4) pedestrian motions; and 5) turning vehicles.en_HK
dc.format.extent375578 bytes-
dc.format.extent5183 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=25en_HK
dc.relation.ispartofIEEE Transactions on Vehicular Technologyen_HK
dc.rights©2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectMotion estimationen_HK
dc.subjectRed light cameraen_HK
dc.subjectTraffic light detectionen_HK
dc.subjectVideo analysisen_HK
dc.titleAn effective video analysis method for detecting red light runnersen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0018-9545&volume=50&issue=4&spage=1074&epage=1084&date=2001&atitle=An+effective+video+analysis+method+for+detecting+red+light+runnersen_HK
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_HK
dc.identifier.authorityYung, NHC=rp00226en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/25.938581en_HK
dc.identifier.scopuseid_2-s2.0-0035388277en_HK
dc.identifier.hkuros72301-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035388277&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume50en_HK
dc.identifier.issue4en_HK
dc.identifier.spage1074en_HK
dc.identifier.epage1084en_HK
dc.identifier.isiWOS:000170248000017-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK
dc.identifier.scopusauthoridLai, AHS=7102225794en_HK

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