File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Towards detection of moving cast shadows for visual traffic surveillance

TitleTowards detection of moving cast shadows for visual traffic surveillance
Authors
KeywordsImage Segmentation
Image Sequence Analysis
Intelligent Transportation Systems
Shadow Detection
Visual Traffic Surveillance
Issue Date2001
PublisherIEEE.
Citation
Proceedings Of The Ieee International Conference On Systems, Man And Cybernetics, 2001, v. 4, p. 2505-2510 How to Cite?
AbstractIn this paper, an effective method for the detection of moving cast shadow for visual traffic surveillance is proposed. Based on the cast shadow observations in luminance, chrominance, gradient density and geometry domains, a combined probability map, called shadow confidence score, of the region belonging to the shadow is deduced. The object region is then separated from its shadow according to the score. The proposed method has been further tested on images taken under different lighting conditions (sunny and cloudy), viewing angles (roadside and overhead), and vehicle sizes (small, medium and large).
Persistent Identifierhttp://hdl.handle.net/10722/46334
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorFung, GSKen_HK
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorPang, GKHen_HK
dc.contributor.authorLai, AHSen_HK
dc.date.accessioned2007-10-30T06:47:35Z-
dc.date.available2007-10-30T06:47:35Z-
dc.date.issued2001en_HK
dc.identifier.citationProceedings Of The Ieee International Conference On Systems, Man And Cybernetics, 2001, v. 4, p. 2505-2510en_HK
dc.identifier.issn0884-3627en_HK
dc.identifier.urihttp://hdl.handle.net/10722/46334-
dc.description.abstractIn this paper, an effective method for the detection of moving cast shadow for visual traffic surveillance is proposed. Based on the cast shadow observations in luminance, chrominance, gradient density and geometry domains, a combined probability map, called shadow confidence score, of the region belonging to the shadow is deduced. The object region is then separated from its shadow according to the score. The proposed method has been further tested on images taken under different lighting conditions (sunny and cloudy), viewing angles (roadside and overhead), and vehicle sizes (small, medium and large).en_HK
dc.format.extent691736 bytes-
dc.format.extent4651 bytes-
dc.format.extent3030 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofProceedings of the IEEE International Conference on Systems, Man and Cyberneticsen_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.subjectImage Segmentationen_HK
dc.subjectImage Sequence Analysisen_HK
dc.subjectIntelligent Transportation Systemsen_HK
dc.subjectShadow Detectionen_HK
dc.subjectVisual Traffic Surveillanceen_HK
dc.titleTowards detection of moving cast shadows for visual traffic surveillanceen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1062-922X&volume=4&spage=2505&epage=2510&date=2001&atitle=Towards+detection+of+moving+cast+shadows+for+visual+traffic+surveillanceen_HK
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_HK
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_HK
dc.identifier.authorityYung, NHC=rp00226en_HK
dc.identifier.authorityPang, GKH=rp00162en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICSMC.2001.972934en_HK
dc.identifier.scopuseid_2-s2.0-0035721521en_HK
dc.identifier.hkuros73276-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0035721521&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume4en_HK
dc.identifier.spage2505en_HK
dc.identifier.epage2510en_HK
dc.identifier.scopusauthoridFung, GSK=7004213392en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK
dc.identifier.scopusauthoridPang, GKH=7103393283en_HK
dc.identifier.scopusauthoridLai, AHS=7102225794en_HK

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats