NORMALIZED MODEL OF TRAFFIC LIGHT TRAITS BASED ON COLORED PIXELS

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NAZARI FARNAZ; AKBARI MOHAMMAD ESMAEIL

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Journal Paper

Paper Information

Journal: JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING Year:2012 | Volume:1 | Issue:3 Page(s): 29-37

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Information Journal Paper

Title

NORMALIZED MODEL OF TRAFFIC LIGHT TRAITS BASED ON COLORED PIXELS

Author(s)

NAZARI FARNAZ | AKBARI MOHAMMAD ESMAEIL | Issue Writer Certificate

Keywords

INTELLIGENT PIXEL DETECTION

TRAFFIC LIGHT

NORMALIZED PIXEL

Abstract

Nowadays, because of the growing numbers of vehicles on streets and roads, the use of intelligent control systems to improve driving safety and health has become a necessity. To design and implement such control systems, having information about TRAFFIC LIGHT colors is essential. There are the wide variety of TRAFFIC LIGHTs in terms of light intensity and color. Therefore it seems that design and practical implementation of these systems with acceptable performance is difficult. The study has been discussed extracting, Categories and the offer of a specific model for color and intensity of traffic signals based on an improved algorithm. The proposed intelligent system will detect TRAFFIC LIGHTs through images by installing camera instead of using electronic sensors. After capturing, the image sequence will then be analyzed using computer based programs for extracting of lights specifications.

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APA: Copy

NAZARI, FARNAZ, & AKBARI, MOHAMMAD ESMAEIL. (2012). NORMALIZED MODEL OF TRAFFIC LIGHT TRAITS BASED ON COLORED PIXELS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, 1(3), 29-37. SID. https://sid.ir/paper/333778/en

Vancouver: Copy

NAZARI FARNAZ, AKBARI MOHAMMAD ESMAEIL. NORMALIZED MODEL OF TRAFFIC LIGHT TRAITS BASED ON COLORED PIXELS. JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING[Internet]. 2012;1(3):29-37. Available from: https://sid.ir/paper/333778/en

IEEE: Copy

FARNAZ NAZARI, and MOHAMMAD ESMAEIL AKBARI, “NORMALIZED MODEL OF TRAFFIC LIGHT TRAITS BASED ON COLORED PIXELS,” JOURNAL OF ARTIFICIAL INTELLIGENCE IN ELECTRICAL ENGINEERING, vol. 1, no. 3, pp. 29–37, 2012, [Online]. Available: https://sid.ir/paper/333778/en

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