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Conference Paper: 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
KeywordsTransportation
Issue Date1999
PublisherIEEE.
Citation
Ieee Conference On Intelligent Transportation Systems, Proceedings, Itsc, 1999, p. 692-696 How to Cite?
AbstractThis paper presents the concept of automated virtual loop assignment and loop-based motion estimation in vehicle-type identification. A major departure of our method from previous approaches is that the loops are automatically assigned to each lane; the size of virtual loops is much smaller for estimation accuracy; and the number of virtual loops per lane is large. Comparing this with traditional ILD, there are a number of advantages. First, the size and number of virtual loops may be varied to fine-tune detection accuracy and fully utilize computing resources. Second, there is no failure rate associated with the virtual loops and installation and maintenance cost can be kept to a minimum. Third, virtual loops may be re-allocated anywhere on the frame, giving flexibility in detecting different parameters.
Persistent Identifierhttp://hdl.handle.net/10722/46156

 

DC FieldValueLanguage
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorChan, KCen_HK
dc.contributor.authorLai, AHSen_HK
dc.date.accessioned2007-10-30T06:43:42Z-
dc.date.available2007-10-30T06:43:42Z-
dc.date.issued1999en_HK
dc.identifier.citationIeee Conference On Intelligent Transportation Systems, Proceedings, Itsc, 1999, p. 692-696en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46156-
dc.description.abstractThis paper presents the concept of automated virtual loop assignment and loop-based motion estimation in vehicle-type identification. A major departure of our method from previous approaches is that the loops are automatically assigned to each lane; the size of virtual loops is much smaller for estimation accuracy; and the number of virtual loops per lane is large. Comparing this with traditional ILD, there are a number of advantages. First, the size and number of virtual loops may be varied to fine-tune detection accuracy and fully utilize computing resources. Second, there is no failure rate associated with the virtual loops and installation and maintenance cost can be kept to a minimum. Third, virtual loops may be re-allocated anywhere on the frame, giving flexibility in detecting different parameters.en_HK
dc.format.extent608044 bytes-
dc.format.extent2048 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSCen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©1999 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.subjectTransportationen_HK
dc.titleVehicle-type identification through automated virtual loop assignment and block-based direction biased motion estimationen_HK
dc.typeConference_Paperen_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/ITSC.1999.821145en_HK
dc.identifier.scopuseid_2-s2.0-0033309764en_HK
dc.identifier.hkuros50034-
dc.identifier.spage692en_HK
dc.identifier.epage696en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK
dc.identifier.scopusauthoridChan, KC=24331046500en_HK
dc.identifier.scopusauthoridLai, AHS=7102225794en_HK

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