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 Field
Value
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