Application of machine learning techniques for simplifying the association problem in a video surveillance system

Authors:
Blanca Rodríguez;Óscar Pérez;Jesús García;José M. Molina
Affiliations:
Departamento de Informática, Universidad Carlos III de Madrid, Madrid, Spain;Departamento de Informática, Universidad Carlos III de Madrid, Madrid, Spain;Departamento de Informática, Universidad Carlos III de Madrid, Madrid, Spain;Departamento de Informática, Universidad Carlos III de Madrid, Madrid, Spain
Venue:
IWINAC'05 Proceedings of the First international work-conference on the Interplay Between Natural and Artificial Computation conference on Artificial Intelligence and Knowledge Engineering Applications: a bioinspired approach - Volume Part II
Year:
2005

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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.