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Article: Vehicle-Type Identification Through Automated Virtual Loop Assignment and Block-Based Direction-Biased Motion Estimation

TitleVehicle-Type Identification Through Automated Virtual Loop Assignment and Block-Based Direction-Biased Motion Estimation
Authors
KeywordsInductive loop detector
Motion estimation
Vehicle type identification
Virtual loops
Issue Date2000
PublisherI E E E. The Journal's web site is located at http://www.ewh.ieee.org/tc/its/trans.html
Citation
Ieee Transactions On Intelligent Transportation Systems, 2000, v. 1 n. 2, p. 86-97 How to Cite?
AbstractThis paper presents a method of automated virtual loop assignment and direction-based motion estimation. The unique features of our approach are that first, a number of loops are automatically assigned to each lane. The merit of doing this is that it accommodates pan-tilt-zoom (PTZ) actions without needing further human interaction. Second, the size of the virtual loops is much smaller for estimation accuracy. This enables the use of standard block-based motion estimation techniques that are well developed for video coding. Third, the number of virtual loops per lane is large. The motion content of each block may be weighted and the collective result offers a more reliable and robust approach in motion estimation. Comparing this with traditional inductive loop detectors (ILDs), there are a number of advantages. First, the size and number of virtual loops may be varied to fine-tune detection accuracy. Second, it may also be varied for an effective utilization of the computing resources. Third, there is no failure rate associated with the virtual loops or physical installation. As the loops are defined on the image sequence, changing the detection configuration or redeploying the loops to other locations on the same image sequence requires only a change of the assignment parameters. Fourth, virtual loops may be reallocated anywhere on the frame, giving flexibility in detecting different parameters. Our simulation results indicate that the proposed method is effective in type classification.
Persistent Identifierhttp://hdl.handle.net/10722/42869
ISSN
2015 Impact Factor: 2.534
2015 SCImago Journal Rankings: 1.300
References

 

DC FieldValueLanguage
dc.contributor.authorLai, AHSen_HK
dc.contributor.authorYung, NHCen_HK
dc.date.accessioned2007-03-23T04:33:44Z-
dc.date.available2007-03-23T04:33:44Z-
dc.date.issued2000en_HK
dc.identifier.citationIeee Transactions On Intelligent Transportation Systems, 2000, v. 1 n. 2, p. 86-97en_HK
dc.identifier.issn1524-9050en_HK
dc.identifier.urihttp://hdl.handle.net/10722/42869-
dc.description.abstractThis paper presents a method of automated virtual loop assignment and direction-based motion estimation. The unique features of our approach are that first, a number of loops are automatically assigned to each lane. The merit of doing this is that it accommodates pan-tilt-zoom (PTZ) actions without needing further human interaction. Second, the size of the virtual loops is much smaller for estimation accuracy. This enables the use of standard block-based motion estimation techniques that are well developed for video coding. Third, the number of virtual loops per lane is large. The motion content of each block may be weighted and the collective result offers a more reliable and robust approach in motion estimation. Comparing this with traditional inductive loop detectors (ILDs), there are a number of advantages. First, the size and number of virtual loops may be varied to fine-tune detection accuracy. Second, it may also be varied for an effective utilization of the computing resources. Third, there is no failure rate associated with the virtual loops or physical installation. As the loops are defined on the image sequence, changing the detection configuration or redeploying the loops to other locations on the same image sequence requires only a change of the assignment parameters. Fourth, virtual loops may be reallocated anywhere on the frame, giving flexibility in detecting different parameters. Our simulation results indicate that the proposed method is effective in type classification.en_HK
dc.format.extent260577 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://www.ewh.ieee.org/tc/its/trans.htmlen_HK
dc.relation.ispartofIEEE Transactions on Intelligent Transportation Systemsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2000 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.subjectInductive loop detectoren_HK
dc.subjectMotion estimationen_HK
dc.subjectVehicle type identificationen_HK
dc.subjectVirtual loopsen_HK
dc.titleVehicle-Type Identification Through Automated Virtual Loop Assignment and Block-Based Direction-Biased Motion Estimationen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1524-9050&volume=1&issue=2&spage=86&epage=97&date=2000&atitle=Vehicle-type+identification+through+automated+virtual+loop+assignment+and+block-based+direction-biased+motion+estimationen_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.doi10.1109/6979.880965en_HK
dc.identifier.scopuseid_2-s2.0-0003028143en_HK
dc.identifier.hkuros59355-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0003028143&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume1en_HK
dc.identifier.issue2en_HK
dc.identifier.spage86en_HK
dc.identifier.epage97en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLai, AHS=7102225794en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK

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