Scenario-based query processing for video-surveillance archives

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buir.contributor.authorGüdükbay, Uğur
dc.citation.epage345en_US
dc.citation.issueNumber23en_US
dc.citation.spage331en_US
dc.citation.volumeNumber23en_US
dc.contributor.authorŞaykol, E.en_US
dc.contributor.authorGüdükbay, Uğuren_US
dc.contributor.authorUlusoy, O.en_US
dc.date.accessioned2015-07-28T11:58:50Z
dc.date.available2015-07-28T11:58:50Z
dc.date.issued2010-04en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractAutomated video surveillance has emerged as a trendy application domain in recent years, and accessing the semantic content of surveillance video has become a challenging research area. The results of a considerable amount of research dealing with automated access to video surveillance have appeared in the literature; however, significant semantic gaps in event models and content-based access to surveillance video remain. In this paper, we propose a scenario-based query-processing system for video surveillance archives. In our system, a scenario is specified as a sequence of event predicates that can be enriched with object-based low-level features and directional predicates. We introduce an inverted tracking scheme, which effectively tracks the moving objects and enables view-based addressing of the scene. Our query-processing system also supports inverse querying and view-based querying, for after-the-fact activity analysis. We propose a specific surveillance query language to express the supported query types in a scenario-based manner. We also present a visual query-specification interface devised to facilitate the query-specification process. We have conducted performance experiments to show that our query-processing technique has a high expressive power and satisfactory retrieval accuracy in video surveillance. (C) 2009 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.engappai.2009.08.002en_US
dc.identifier.issn0952-1976
dc.identifier.urihttp://hdl.handle.net/11693/11803
dc.language.isoEnglishen_US
dc.publisherPergamon Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.engappai.2009.08.002en_US
dc.source.titleEngineering Applications of Artificial Intelligence: the international journal of intelligent real-time automationen_US
dc.subjectVideo surveillanceen_US
dc.subjectScenario - based querying and retrievalen_US
dc.subjectVisual query specificationen_US
dc.subjectEvent - based queryingen_US
dc.subjectAfter - the - fact analysisen_US
dc.titleScenario-based query processing for video-surveillance archivesen_US
dc.typeArticleen_US
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