Title: Optimizing parameters of a motion detection system by means of a genetic algorithm
Authors: Bevilacqua, Alessandro
Citation: WSCG ’2003: Short papers: The 11-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2003, 3.-7, p. 25-32.
Issue Date: 2003
Publisher: UNION Agency
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2003/Papers_2003/F61.pdf
ISBN: 80-903100-1-X
Keywords: systém detekce pohybu;optimalizační parametry;genetický algoritmus;monitorování dopravy
Keywords in different language: motion detection system;optimizing parametres;genetic algorithm;traffic monitoring
Abstract: Visual surveillance and monitoring have aroused interest in the computer video community for many years. The main task of these applications is to identify (and track) moving targets. The traffic monitoring application we have developed requires that a large number of parameters is tuned in order to work properly. About thirty parameters concerning the detection algorithm have been c onsidered as to be optimized. Accordingly, this paper shows how a Genetic Algorithm (GA) represents a powerful task in order to automatically compute sub-optimal parameter settings in a motion detection system. Besides, to our knowledge this work is the first attempt of using GAs to such a problem. Accurate experiments accomplis hed on a challenging test se quence show the relevant results attained in terms of qualitative performance.
Rights: © UNION Agency
Appears in Collections:WSCG '2003: Short papers

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