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Conference Paper: A methodology for determining the resolvability of multiple vehicle occlusion in a monocular traffic image sequence

TitleA methodology for determining the resolvability of multiple vehicle occlusion in a monocular traffic image sequence
Authors
KeywordsCubic deformable model
Curvature points
Monocular traffic image sequence
Occlusion
Resolvability
Issue Date2004
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 2004, v. 5558 PART 1, p. 157-168 How to Cite?
AbstractThis paper proposed a knowledge-based methodology for determining the resolvability of N occluded vehicles seen in a monocular image sequence. The resolvability of each vehicle is determined by: firstly, deriving the relationship between the camera position and the number of vertices of a projected cuboid on the image; secondly, finding the direction of the edges of the projected cuboid in the image; and thirdly, modeling the maximum number of occluded cuboid edges of which the occluded cuboid is irresolvable. The proposed methodology has been tested rigorously on a number of real world monocular traffic image sequences that involves multiple vehicle occlusions, and is found to be able to successfully determine the number of occluded vehicles as well as the resolvability of each vehicle. We believe the proposed methodology will form the foundation for a more accurate traffic flow estimation and recognition system.
Persistent Identifierhttp://hdl.handle.net/10722/46474
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorPang, CCCen_HK
dc.contributor.authorYung, NHCen_HK
dc.date.accessioned2007-10-30T06:50:38Z-
dc.date.available2007-10-30T06:50:38Z-
dc.date.issued2004en_HK
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 2004, v. 5558 PART 1, p. 157-168en_HK
dc.identifier.issn0277-786Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/46474-
dc.description.abstractThis paper proposed a knowledge-based methodology for determining the resolvability of N occluded vehicles seen in a monocular image sequence. The resolvability of each vehicle is determined by: firstly, deriving the relationship between the camera position and the number of vertices of a projected cuboid on the image; secondly, finding the direction of the edges of the projected cuboid in the image; and thirdly, modeling the maximum number of occluded cuboid edges of which the occluded cuboid is irresolvable. The proposed methodology has been tested rigorously on a number of real world monocular traffic image sequences that involves multiple vehicle occlusions, and is found to be able to successfully determine the number of occluded vehicles as well as the resolvability of each vehicle. We believe the proposed methodology will form the foundation for a more accurate traffic flow estimation and recognition system.en_HK
dc.format.extent1217677 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_HK
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsS P I E - the International Society for Optical Proceedings. Copyright © S P I E - International Society for Optical Engineering.en_HK
dc.rightsCopyright 2004 Society of Photo-Optical Instrumentation Engineers. This paper was published in Applications of Digital Image Processing XXVII, Denver, Colorado, USA, 2-6 August 2004, v. 5558, p. 157-168 and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en_HK
dc.subjectCubic deformable modelen_HK
dc.subjectCurvature pointsen_HK
dc.subjectMonocular traffic image sequenceen_HK
dc.subjectOcclusionen_HK
dc.subjectResolvabilityen_HK
dc.titleA methodology for determining the resolvability of multiple vehicle occlusion in a monocular traffic image sequenceen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0277-786X&volume=5558&spage=157&epage=168&date=2004&atitle=A+methodology+for+determining+the+resolvability+of+multiple+vehicle+occlusion+in+a+monocular+traffic+image+sequenceen_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.doi10.1117/12.559220en_HK
dc.identifier.scopuseid_2-s2.0-14944346734en_HK
dc.identifier.hkuros91675-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-14944346734&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume5558en_HK
dc.identifier.issuePART 1en_HK
dc.identifier.spage157en_HK
dc.identifier.epage168en_HK
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridPang, CCC=7201425202en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK

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