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Knowledge-Based Road Traffic Monitoring

  • Antonio Fernández-Caballero
  • Francisco J. Gómez
  • Juan López-López
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4528)

Abstract

This article presents a knowledge-based application to study and analyze traffic behavior on major roads, using as the main surveillance artefact a video camera mounted on a relatively high place 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, which can detect a wide range of the most significant incidents on a freeway or highway.

Keywords

Reference Image Average Speed Heavy Vehicle Vehicle Detection Distance Zone 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Antonio Fernández-Caballero
    • 1
  • Francisco J. Gómez
    • 1
  • Juan López-López
    • 1
  1. 1.Instituto de Investigación en Informática de Albacete (I3A) and, Escuela Politécnica Superior de Albacete, Universidad de Castilla-La Mancha, 02071-AlbaceteEspaña

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