Boat Speed Monitoring Using Artificial Vision

  • Alberto Broggi
  • Pietro Cerri
  • Paolo Grisleri
  • Marco Paterlini
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5716)

Abstract

This paper describes a method to detect, measure the speed, and extract statistics of boats moving on a wide water surface using a single image stream taken from grayscale camera. The approach is based on a background subtraction technique combined with classification and tracking to improve robustness; it provides a stable detection even with sea waves and strong light reflections. The method returns correct speed values within the range ±5% in the 97% of use cases. The algorithm has been integrated in a speed warning prototype system on the Burano island in Venice, monitoring a 250 m wide channel slice. Images are captured by a high resolution camera and processed on site in real-time. Processing results can be accessed remotely for monitoring purposes. The system has been up and running for more than two years.

Keywords

Motion Vector Current Frame Tide Level Speed Error Grand Canal 
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 2009

Authors and Affiliations

  • Alberto Broggi
    • 1
  • Pietro Cerri
    • 1
  • Paolo Grisleri
    • 1
  • Marco Paterlini
    • 1
  1. 1.VisLab - Dipartimento di Ingegneria dell’InformazioneUniversità degli Studi di ParmaParmaItaly

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