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dc.date.accessioned2014-01-23T09:37:37Z
dc.date.available2014-01-23T09:37:37Z
dc.description2010 - 2011en_US
dc.description.abstractIntelligent Transportatin Systems have gained a great importance in the last decades given the growing need for security in many public environments, with particular attention for traffic scenarios, which are daily interested by accidents, traffic queues, highway code violations, driving in the wrong lane or on the wrong side, and so on. In the context of camera-based traffic analysis systems, in this thesis I will present a novel indexing scheme for the design of a system for the extraction, the storage and retrieval of moving objects' trajectories from surveillance cameras... [edited by Author]en_US
dc.language.isoenen_US
dc.subject.miurING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONIen_US
dc.contributor.coordinatoreMarcelli, Angeloen_US
dc.description.cicloX n.s.en_US
dc.contributor.tutorVento, Marioen_US
dc.contributor.cotutorIovane, Gerardoen_US
dc.identifier.DipartimentoIngegneria Elettronica ed Ingegneria Informaticaen_US
dc.titleEfficient indexing and retrieval from large moving object databases through dynamic spatio-temporal queriesen_US
dc.contributor.authorLeone, Marco
dc.date.issued2012-10-25
dc.identifier.urihttp://hdl.handle.net/10556/987
dc.typeDoctoral Thesisit_IT
dc.subjectTrajectory analysisit_IT
dc.subjectSpatio-temporal indexingit_IT
dc.subjectTrajectory segmentationit_IT
dc.subjectActivity analysisit_IT
dc.subjectQuery processingit_IT
dc.subjectDynamic spatio-temporal queriesit_IT
dc.publisher.alternativeUniversita degli studi di Salernoit_IT
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