Vehicle Detection and Tracking for Traffic Monitoring

  • Gian Luca Foresti
  • Lauro Snidaro
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)


This paper addresses some of the indications of the European Union for road safety by proposing a real-time traffic monitoring system for vehicle detection and tracking in bad illuminated scenarios. Several urban and extra-urban roads during the night or tunnels are characterized by low illumination, light spots, shadows, light reflections, etc. The main objectives of the proposed system are: (a) to monitor the traffic flow, (b) to estimate the vehicle’s speed or determine the state of the traffic, (c) to detect anomalous situations, e.g. rising alarms in case of road accidents or stopped cars. Experimental results on real image sequences demonstrate the effectiveness of the proposed system.


Light Spot Vehicle Detection Traffic Monitoring Minimum Bound Rectangle Vehicle Tracking 
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-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Gian Luca Foresti
    • 1
  • Lauro Snidaro
    • 1
  1. 1.Department of Mathematics and Computer ScienceUniversity of UdineUdineItaly

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