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Conference Paper: Metadata extraction and organization for intelligent video surveillance system

TitleMetadata extraction and organization for intelligent video surveillance system
Authors
KeywordsAnalysis algorithms
Comparative analysis
Duration time
End users
End-user queries
Issue Date2010
PublisherIEEE.
Citation
2010 Ieee International Conference On Mechatronics And Automation, Icma 2010, 2010, p. 489-494 How to Cite?
Abstract
The 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
Persistent Identifierhttp://hdl.handle.net/10722/129638
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorZhou, Hen_HK
dc.contributor.authorPang, GKHen_HK
dc.date.accessioned2010-12-23T08:40:36Z-
dc.date.available2010-12-23T08:40:36Z-
dc.date.issued2010en_HK
dc.identifier.citation2010 Ieee International Conference On Mechatronics And Automation, Icma 2010, 2010, p. 489-494en_HK
dc.identifier.isbn978-1-4244-5140-1-
dc.identifier.urihttp://hdl.handle.net/10722/129638-
dc.descriptionProceedings of the IEEE International Conference on Mechatronics and Automation (ICMA), 2010, p. 489-494-
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.en_HK
dc.languageengen_US
dc.publisherIEEE.-
dc.relation.ispartof2010 IEEE International Conference on Mechatronics and Automation, ICMA 2010en_HK
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 systemen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=978-1-4244-5140-1&volume=&spage=489&epage=494&date=2010&atitle=Metadata+extraction+and+organization+for+intelligent+video+surveillance+system-
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_HK
dc.identifier.authorityPang, GKH=rp00162en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICMA.2010.5588606en_HK
dc.identifier.scopuseid_2-s2.0-78649262085en_HK
dc.identifier.hkuros176499en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78649262085&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage489en_HK
dc.identifier.epage494en_HK
dc.identifier.scopusauthoridZhou, H=36665572700en_HK
dc.identifier.scopusauthoridPang, GKH=7103393283en_HK

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