Please use this identifier to cite or link to this item: http://elea.unisa.it:8080/xmlui/handle/10556/987
Title: Efficient indexing and retrieval from large moving object databases through dynamic spatio-temporal queries
Authors: Leone, Marco
Marcelli, Angelo
Vento, Mario
Iovane, Gerardo
Keywords: Trajectory analysis;Spatio-temporal indexing;Trajectory segmentation;Activity analysis;Query processing;Dynamic spatio-temporal queries
Issue Date: 25-Oct-2012
Publisher: Universita degli studi di Salerno
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]
Description: 2010 - 2011
URI: http://hdl.handle.net/10556/987
Appears in Collections:Ingegneria dell'Informazione

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abstract in inglese M. Leone.pdfabstract in inglese a cura dell'autore74,77 kBAdobe PDFView/Open
abstract in italiano M. Leone.pdfabstract in italiano a cura dell'autore33,57 kBAdobe PDFView/Open


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