Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems
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Materia
Interaction Systems Fuzzy rule-based systems Genetic fuzzy systems Laser Pointer Detection Domotic Control Systems Inteligencia artificial Artificial intelligence
Fecha
2012-04-01Referencia bibliográfica
Chávez, F... [et al.] (2012). Automatic laser pointer detection algorithm for environment control device systems based on template matching and genetic tuning of fuzzy rule-based systems. International Journal of Computational Intelligence Systems, 5(2), 368-386. DOI: [https://doi.org/10.1080/18756891.2012.685327]
Patrocinador
Spanish Government TIN2008-06681-C06-01 TIN2007-68083-C02-01; University of Extremadura regional government Junta de Extremadura; Consejeria de Economia-Comercio e Innovacion European Commission GRU09105Resumen
In this paper we propose a new approach for laser-based environment device control systems based on
the automatic design of a Fuzzy Rule-Based System for laser pointer detection. The idea is to improve
the success rate of the previous approaches decreasing as much as possible the false offs and increasing
the success rate in images with laser spot, i.e., the detection of a false laser spot (since this could lead to
dangerous situations). To this end, we propose to analyze both, the morphology and color of a laser spot
image together, thus developing a new robust algorithm. Genetic Fuzzy Systems have also been employed
to improve the laser spot system detection by means of a fine tuning of the involved membership functions
thus reducing the system false offs, which is the main objective in this problem. The system presented in
this paper, makes use of a Fuzzy Rule-Based System adjusted by a Genetic Algorithm, which, based on
laser morphology and color analysis, shows a better success rate than previous approaches.
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