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Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach

Volume 3562 of the series Lecture Notes in Computer Science pp 509-518

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

  • Blanca RodríguezAffiliated withDepartamento de Informática, Universidad Carlos III de Madrid
  • , Óscar PérezAffiliated withDepartamento de Informática, Universidad Carlos III de Madrid
  • , Jesús GarcíaAffiliated withDepartamento de Informática, Universidad Carlos III de Madrid
  • , José M. MolinaAffiliated withDepartamento de Informática, Universidad Carlos III de Madrid

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Abstract

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.