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Efficient indexing and retrieval from large moving object databases through dynamic spatio-temporal queries
dc.contributor.author | Leone, Marco | |
dc.date.accessioned | 2014-01-23T09:37:37Z | |
dc.date.available | 2014-01-23T09:37:37Z | |
dc.date.issued | 2012-10-25 | |
dc.identifier.uri | http://hdl.handle.net/10556/987 | |
dc.description | 2010 - 2011 | en_US |
dc.description.abstract | Intelligent 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.iso | en | en_US |
dc.publisher | Universita degli studi di Salerno | en_US |
dc.subject | Trajectory analysis | en_US |
dc.subject | Spatio-temporal indexing | en_US |
dc.subject | Trajectory segmentation | en_US |
dc.subject | Activity analysis | en_US |
dc.subject | Query processing | en_US |
dc.subject | Dynamic spatio-temporal queries | en_US |
dc.title | Efficient indexing and retrieval from large moving object databases through dynamic spatio-temporal queries | en_US |
dc.type | Doctoral Thesis | en_US |
dc.subject.miur | ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI | en_US |
dc.contributor.coordinatore | Marcelli, Angelo | en_US |
dc.description.ciclo | X n.s. | en_US |
dc.contributor.tutor | Vento, Mario | en_US |
dc.contributor.cotutor | Iovane, Gerardo | en_US |
dc.identifier.Dipartimento | Ingegneria Elettronica ed Ingegneria Informatica | en_US |