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Conference Paper: Detection of vehicle occlusion using a generalized deformable model

TitleDetection of vehicle occlusion using a generalized deformable model
Authors
Yung, Nelson HCLai, Andrew HS
KeywordsElectronics
Issue Date1998
PublisherIEEE.
Citation
Proceedings - Ieee International Symposium On Circuits And Systems, 1998, v. 4, p. 154-157 How to Cite?
DOI: http://dx.doi.org/10.1109/ISCAS.1998.698782
AbstractThis paper presents a vehicle occlusion detection algorithm based on a generalized deformable model. A 3D solid cuboid model with up to six vertices is employed to fit any vehicle images, by varying the vertices for a best fit. The advantage of using such a model is that the number of parameterized vertices is small which can be easily deformed. Occlusion is detected by recording the changes in the Area Ratio and the dimensions of the generalized deformable model. Our tests show that the new modeling algorithm is effective in detecting vehicle occlusion.
Persistent Identifierhttp://hdl.handle.net/10722/46065
ISSN
0271-4310
2023 SCImago Journal Rankings: 0.307

 

DC FieldValueLanguage
dc.contributor.authorYung, Nelson HCen_HK
dc.contributor.authorLai, Andrew HSen_HK
dc.date.accessioned2007-10-30T06:41:47Z-
dc.date.available2007-10-30T06:41:47Z-
dc.date.issued1998en_HK
dc.identifier.citationProceedings - Ieee International Symposium On Circuits And Systems, 1998, v. 4, p. 154-157en_HK
dc.identifier.issn0271-4310en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46065-
dc.description.abstractThis paper presents a vehicle occlusion detection algorithm based on a generalized deformable model. A 3D solid cuboid model with up to six vertices is employed to fit any vehicle images, by varying the vertices for a best fit. The advantage of using such a model is that the number of parameterized vertices is small which can be easily deformed. Occlusion is detected by recording the changes in the Area Ratio and the dimensions of the generalized deformable model. Our tests show that the new modeling algorithm is effective in detecting vehicle occlusion.en_HK
dc.format.extent655796 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofProceedings - IEEE International Symposium on Circuits and Systemsen_HK
dc.rights©1998 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.-
dc.subjectElectronicsen_HK
dc.titleDetection of vehicle occlusion using a generalized deformable modelen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0271-4302&volume=4&spage=154&epage=157&date=1998&atitle=Detection+of+vehicle+occlusion+using+a+generalized+deformable+modelen_HK
dc.identifier.emailYung, Nelson HC:nyung@eee.hku.hken_HK
dc.identifier.authorityYung, Nelson HC=rp00226en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ISCAS.1998.698782en_HK
dc.identifier.scopuseid_2-s2.0-0031644965en_HK
dc.identifier.hkuros36828-
dc.identifier.volume4en_HK
dc.identifier.spage154en_HK
dc.identifier.epage157en_HK
dc.identifier.scopusauthoridYung, Nelson HC=7003473369en_HK
dc.identifier.scopusauthoridLai, Andrew HS=7102225794en_HK
dc.identifier.issnl0271-4310-

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