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Flame and Smoke Detection Method for Early and Real-Time Detection of Tunnel Fire  

Lee, Byoung-Moo (BT Consultants Co., Ltd.)
Han, Dong-Il (Dept. of Computer Engineering, Sejong University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.45, no.4, 2008 , pp. 59-70 More about this Journal
Abstract
In this paper, we proposed image processing technique for automatic real-time fire and smoke detection in tunnel environment. To avoid the large scale of damage of fire occurred in variety environments, it is purposeful to propose many studies to minimize and to discover the incident as fast as possible. But we need new specific algorithm because tunnel environment is quite different and it is difficult to apply previous fire detection algorithm to tunnel environment. Therefore, in this paper, we proposed specific algorithm which can be applied in tunnel environment. To minimize false detection in tunnel we used color and motion information. And it is possible to detect exact position in early stage with detection, test, verification procedures. In addition, by comparing properties of each algorithm throughout experiment, we have proved the validity and efficiency of proposed algorithm.
Keywords
실시간 영상처리;화염 검출;연기 검출;조기 화재 검출;
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  • Reference
1 Noda. S and Ueda. K, "Fire detection in tunnels using an image processing method" In Vehicle Navigation and Information Systems Conference Proceedings 1994, pp. 57 - 62, 1994
2 Turgay. Celik, Hasan. Demirel, Huseyin. Ozkar -amanli and Mustafa. Uyguroglu, "Fire detection using statistical color model in video sequences" In Journal of Visual Communication and Image Representation, Volume 18, Issue 2, ISSN:1047-3203, pp. 176-185, 2007   DOI   ScienceOn
3 Thou-Ho(Chao-Ho). Chen, Yen-Hui. Yin, Shi-Feng. Huang. and Yan-Ting. Ye, "The smok -e detection for early fire-alarming system base on video processing" In International Conference on Intelligent Information Hiding and Multimedia, pp. 427-430, 2006
4 Cappellini. V, Mattii. L. and Mecocci. A, "An intelligent system for automatic fire detection in forests" In Image Processing and its Applications Third International Conference 1989, pp. 563 - 570, 1989
5 Marbach G, Loepfe. M and Brupbacher. T, "An Image processing technique for fire detection in video images" In Fire safety Journal 2006; volume 9, Number 28 ISSN 1556-8849, 41(4) pp. 285-289, 10 July 2006
6 Rafael C. Gonzalez and Richard E. Woods, "Digital Image Processing", Prentice Hall, pp.665-720, 2003
7 Thou-Ho. Chen, Cheng-Liang. Kao and Sju-Mo. Chang, "An intelligent real-time fire-detection method based on video processing." In Security Technology, 2003. Proceedings. IEEE 37th Annual 2003 International Carnahan Conference on 14-16 Oct. pp.104 - 111, 2003
8 Cigada. A, Ruggieri. D and Zappa. E, "Road and railway tunnel fire hazard: a new measurement method for risk assessment and improvement of transit safety" In Measurement Systems for Homeland Security, Contraband Detection and Personal Safety Workshop(IMS 2005) Proceedings of the 2005 IEEE International Workshop on 29-30 March pp. 89 - 94, 2005
9 T. Ono, H. Ishii., K. kawamura, H. Miura, E. Momma, T. Fujisawa and J. Hozumi, "Applic ati -on of neural network to analyses of CCD colour TV-camera image for the detection of car fires in expressway tunnels" In Fire safety journal, pp. 285-289, 2006
10 Koga. K, Inobe. T., Namai. T and Kaneko. Y, "Integrated traffic flow monitoring system in a large-scale tunnel" In Intelligent Transportation System ITSC 97. IEEE Conference 1997, pp. 165 - 170, 1997