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Conference Paper: Metadata extraction and organization for intelligent video surveillance system
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TitleMetadata extraction and organization for intelligent video surveillance system
 
AuthorsZhou, H
Pang, GKH
 
KeywordsAnalysis algorithms
Comparative analysis
Duration time
End users
End-user queries
 
Issue Date2010
 
PublisherIEEE.
 
Citation2010 Ieee International Conference On Mechatronics And Automation, Icma 2010, 2010, p. 489-494 [How to Cite?]
DOI: http://dx.doi.org/10.1109/ICMA.2010.5588606
 
AbstractThe research for metadata extraction originates from the intelligent video surveillance system, which is widely used in outdoor and indoor environment for the aims of traffic monitor, security guard, and intelligent robot. Various features are extracted from the surveillance image sequences such as target detection, target tracking, object's shape and activities. However, the trend of more and more features being used and shared in video surveillance system calls for more attention to bridge the gap between specific analysis algorithms and enduser's expectation. This paper proposes a three-layer object oriented model to extract the surveillance metadata including shape, motion speed, and trajectory of the object emerging in image sequence. Meanwhile, the high-level semantic metadata including entry/exit point, object duration time is organized and stored which are provided for the further end-user queries. The paper also presents the experiment results in different indoor and outdoor surveillance scenarios. At last, a comparative analysis with another traditional method is presented. © 2010 IEEE.
 
DescriptionProceedings of the IEEE International Conference on Mechatronics and Automation (ICMA), 2010, p. 489-494
 
ISBN978-1-4244-5140-1
 
DOIhttp://dx.doi.org/10.1109/ICMA.2010.5588606
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorZhou, H
 
dc.contributor.authorPang, GKH
 
dc.date.accessioned2010-12-23T08:40:36Z
 
dc.date.available2010-12-23T08:40:36Z
 
dc.date.issued2010
 
dc.description.abstractThe research for metadata extraction originates from the intelligent video surveillance system, which is widely used in outdoor and indoor environment for the aims of traffic monitor, security guard, and intelligent robot. Various features are extracted from the surveillance image sequences such as target detection, target tracking, object's shape and activities. However, the trend of more and more features being used and shared in video surveillance system calls for more attention to bridge the gap between specific analysis algorithms and enduser's expectation. This paper proposes a three-layer object oriented model to extract the surveillance metadata including shape, motion speed, and trajectory of the object emerging in image sequence. Meanwhile, the high-level semantic metadata including entry/exit point, object duration time is organized and stored which are provided for the further end-user queries. The paper also presents the experiment results in different indoor and outdoor surveillance scenarios. At last, a comparative analysis with another traditional method is presented. © 2010 IEEE.
 
dc.description.naturepublished_or_final_version
 
dc.descriptionProceedings of the IEEE International Conference on Mechatronics and Automation (ICMA), 2010, p. 489-494
 
dc.identifier.citation2010 Ieee International Conference On Mechatronics And Automation, Icma 2010, 2010, p. 489-494 [How to Cite?]
DOI: http://dx.doi.org/10.1109/ICMA.2010.5588606
 
dc.identifier.doihttp://dx.doi.org/10.1109/ICMA.2010.5588606
 
dc.identifier.epage494
 
dc.identifier.hkuros176499
 
dc.identifier.isbn978-1-4244-5140-1
 
dc.identifier.openurl
 
dc.identifier.scopuseid_2-s2.0-78649262085
 
dc.identifier.spage489
 
dc.identifier.urihttp://hdl.handle.net/10722/129638
 
dc.languageeng
 
dc.publisherIEEE.
 
dc.relation.ispartof2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010
 
dc.relation.referencesReferences in Scopus
 
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
 
dc.rightsIEEE International Conference on Mechatronics and Automation. Copyright © IEEE.
 
dc.rights©2010 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.subjectAnalysis algorithms
 
dc.subjectComparative analysis
 
dc.subjectDuration time
 
dc.subjectEnd users
 
dc.subjectEnd-user queries
 
dc.titleMetadata extraction and organization for intelligent video surveillance system
 
dc.typeConference_Paper
 
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