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http://dx.doi.org/10.9717/kmms.2016.19.2.180

Fire Detection Algorithm Based On Motion Information and Color Information Analysis  

Choi, Hong-seok (Dept. of IT Convergence and Application Eng., Graduate School, Pukyong National University)
Moon, Kwang-seok (Dept. of Electronic Eng., Graduate School, Pukyong National University)
Kim, Jong-nam (Dept. of Electronic Eng., Graduate School, Pukyong National University)
Park, Seung-seob (Dept. of Computer Eng., Graduate School, Pukyong National University)
Publication Information
Journal of Korea Multimedia Society / v.19, no.2, 2016 , pp. 180-188 More about this Journal
Abstract
In this paper, we propose a fire detection algorithm based on motion information and color information analysis. Conventional fire detection algorithms have as main problem the difficulty to detect fire due to external light, intensity, background image complexity, and little fire diffusion. So we propose a fire detection algorithm that accurate and fast. First, it analyzes the motion information in video data and then set the first candidate. Second, it determines this domain after analyzing the color and the domain. This algorithm assures a fast fire detection and a high accuracy compared with conventional fire detection algorithms. Our algorithm will be useful to real-time fire detection in real world.
Keywords
Fire Detection; Color Information Analysis; Motion Detection; Domain Information Analysis;
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