Road-traffic monitoring by knowledge-driven static and dynamic image analysis

Authors:
Antonio Fernández-Caballero;Francisco J. Gómez;Juan López-López
Affiliations:
Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071-Albacete, Spain and Departamento de Sistemas Informáticos, Escuela Politéc ...;Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071-Albacete, Spain and Departamento de Sistemas Informáticos, Escuela Politéc ...;Instituto de Investigación en Informática de Albacete (I3A), Universidad de Castilla-La Mancha, 02071-Albacete, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

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Abstract

This article presents a visual application which allows a study and analysis of traffic behavior on major roads (more specifically freeways and highways), using as the main surveillance artefact a video camera mounted on a relatively high place (such as a bridge) with a significant image analysis field. The system described presents something new which is the combination of both traditional traffic monitoring systems, that is, monitoring to get information on different traffic parameters and monitoring to detect accidents automatically. Therefore, we present a system in charge of compiling information on different traffic parameters. It also has a surveillance module for that traffic, which can detect a wide range of the most significant incidents on a freeway or highway.