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Conference Paper: Multi-scale space vehicle component identification

TitleMulti-scale space vehicle component identification
Authors
Issue Date2004
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349
Citation
Proceedings - International Conference On Image Processing, Icip, 2004, v. 5, p. 925-928 How to Cite?
AbstractVision based vehicle recognition systems have an important role in traffic surveillance. Most of these systems however fail to distinguish vehicles with similar dimensions due to the lack of other details. This paper presents a new scale space method for identifying components of moving vehicles to enable recognition eventually. In the proposed method, vehicles are first divided into multi-scale regions based on the center of gravity of the foreground vehicle mask. It utilizes both the texture scale space and the intensity scale space to determine regions that are homogenous in texture and intensity, from which vehicle components are identified based on the relations between these regions. This method was tested on over a hundred outdoor traffic images and the results are very promising. ©2004 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158417
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorLam, WWLen_US
dc.contributor.authorPang, CCCen_US
dc.contributor.authorYung, NHCen_US
dc.date.accessioned2012-08-08T08:59:31Z-
dc.date.available2012-08-08T08:59:31Z-
dc.date.issued2004en_US
dc.identifier.citationProceedings - International Conference On Image Processing, Icip, 2004, v. 5, p. 925-928en_US
dc.identifier.issn1522-4880en_US
dc.identifier.urihttp://hdl.handle.net/10722/158417-
dc.description.abstractVision based vehicle recognition systems have an important role in traffic surveillance. Most of these systems however fail to distinguish vehicles with similar dimensions due to the lack of other details. This paper presents a new scale space method for identifying components of moving vehicles to enable recognition eventually. In the proposed method, vehicles are first divided into multi-scale regions based on the center of gravity of the foreground vehicle mask. It utilizes both the texture scale space and the intensity scale space to determine regions that are homogenous in texture and intensity, from which vehicle components are identified based on the relations between these regions. This method was tested on over a hundred outdoor traffic images and the results are very promising. ©2004 IEEE.en_US
dc.languageengen_US
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349en_US
dc.relation.ispartofProceedings - International Conference on Image Processing, ICIPen_US
dc.titleMulti-scale space vehicle component identificationen_US
dc.typeConference_Paperen_US
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_US
dc.identifier.authorityYung, NHC=rp00226en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-20444448136en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-20444448136&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume5en_US
dc.identifier.spage925en_US
dc.identifier.epage928en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridLam, WWL=16836339900en_US
dc.identifier.scopusauthoridPang, CCC=7201425202en_US
dc.identifier.scopusauthoridYung, NHC=7003473369en_US

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