Automatic Laser Pointer Detection Algorithm for Environment Control Device Systems Based on Template Matching and Genetic Tuning of Fuzzy Rule-Based Systems

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 incr...

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Published inInternational journal of computational intelligence systems Vol. 5; no. 2; pp. 368 - 386
Main Authors Chávez, F., Fernández, F., Gacto, M.J., Alcalá, R.
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 2012
Springer
Subjects
Domotic Control Systems
Fuzzy Rule-Based Systems
Genetic Fuzzy Systems
Interaction Systems
Laser Pointer Detection
Research Article
Laser Pointer Detection
Fuzzy Rule-Based Systems
Genetic Fuzzy Systems
Interaction Systems
Domotic Control Systems
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Abstract 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.
AbstractList 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.
Author Chávez, F.
Alcalá, R.
Gacto, M.J.
Fernández, F.
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Issue 2
Keywords Laser Pointer Detection
Fuzzy Rule-Based Systems
Genetic Fuzzy Systems
Interaction Systems
Domotic Control Systems
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Snippet 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...
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SubjectTerms Domotic Control Systems
Fuzzy Rule-Based Systems
Genetic Fuzzy Systems
Interaction Systems
Laser Pointer Detection
Research Article
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Title 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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