Application of Machine Learning Techniques for Simplifying the Association Problem in a Video Surveillance System

  • Blanca Rodríguez
  • Óscar Pérez
  • Jesús García
  • José M. Molina
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3562)


This paper presents the application of machine learning techniques for acquiring new knowledge in the image tracking process, specifically, in the blobs detection problem, with the objective of improving performance. Data Mining has been applied to the lowest level in the tracking system: blob extraction and detection, in order to decide whether detected blobs correspond to real targets or not. A performance evaluation function has been applied to assess the video surveillance system, with and without Data Mining Filter, and results have been compared.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Blanca Rodríguez
    • 1
  • Óscar Pérez
    • 1
  • Jesús García
    • 1
  • José M. Molina
    • 1
  1. 1.Departamento de InformáticaUniversidad Carlos III de MadridMadridSpain

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