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]

Efficient indexing and retrieval from large moving object databases through dynamic spatio-temporal queries

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]
25-ott-2012
Inglese
Trajectory analysis
Spatio-temporal indexing
Trajectory segmentation
Activity analysis
Query processing
Dynamic spatio-temporal queries
Marcelli, Angelo
Vento, Mario
Iovane, Gerardo
Università degli Studi di Salerno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14242/143151
Il codice NBN di questa tesi è URN:NBN:IT:UNISA-143151