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Application of Bayesian a Priori Distributions for Vehicles’ Video Tracking Systems

  • Przemysław Mazurek
  • Krzysztof Okarma
Part of the Communications in Computer and Information Science book series (CCIS, volume 104)

Abstract

Intelligent Transportation Systems (ITS) helps to improve the quality and quantity of many car traffic parameters. The use of the ITS is possible when the adequate measuring infrastructure is available. Video systems allow for its implementation with relatively low cost due to the possibility of simultaneous video recording of a few lanes of the road at a considerable distance from the camera. The process of tracking can be realized through different algorithms, the most attractive algorithms are Bayesian, because they use the a priori information derived from previous observations or known limitations. Use of this information is crucial for improving the quality of tracking especially for difficult observability conditions, which occur in the video systems under the influence of: smog, fog, rain, snow and poor lighting conditions.

Keywords

Intelligent Transportation Systems video tracking 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Przemysław Mazurek
    • 1
  • Krzysztof Okarma
    • 1
  1. 1.Faculty of Motor TransportHigher School of Technology and Economics in SzczecinSzczecinPoland

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