Please use this identifier to cite or link to this item:
http://elea.unisa.it/xmlui/handle/10556/987
Title: | Efficient indexing and retrieval from large moving object databases through dynamic spatio-temporal queries |
Authors: | Marcelli, Angelo Vento, Mario Iovane, Gerardo Leone, Marco |
Keywords: | Trajectory analysis;Spatio-temporal indexing;Trajectory segmentation;Activity analysis;Query processing;Dynamic spatio-temporal queries |
Issue Date: | 25-Oct-2012 |
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 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
tesi_di_dottorato_M_Leone.pdf | tesi di dottorato | 5,21 MB | Adobe PDF | View/Open |
abstract in inglese M. Leone.pdf | abstract in inglese a cura dell'autore | 74,77 kB | Adobe PDF | View/Open |
abstract in italiano M. Leone.pdf | abstract in italiano a cura dell'autore | 33,57 kB | Adobe PDF | View/Open |
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