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http://dx.doi.org/10.9708/jksci.2010.15.5.057

A Real Time Flame and Smoke Detection Algorithm Based on Conditional Test in YCbCr Color Model and Adaptive Differential Image  

Lee, Doo-Hee (강원대학교 컴퓨터정보통신공학)
Yoo, Jae-Wook (강원대학교 컴퓨터정보통신공학)
Lee, Kang-Hee (강원대학교 컴퓨터정보통신공학)
Kim, Yoon (강원대학교 컴퓨터정보통신공학)
Publication Information
Journal of the Korea Society of Computer and Information / v.15, no.5, 2010 , pp. 57-65 More about this Journal
Abstract
In this paper, we propose a new real-time algorithm detecting the flame and smoke in digital CCTV images. Because the forest fire causes the enormous human life and damage of property, the early management according to the early sensing is very important. The proposed algorithm for monitoring forest fire is classified into the flame sensing and detection of smoke. The flame sensing algorithm detects a flame through the conditional test at YCbCr color model from the single frame. For the detection of smoke, firstly the background range is set by using differences between current picture and the average picture among the adjacent frames in the weighted value, and the pixels which get out of this range and have a gray-scale are detected in the smoke area. Because the proposed flame sensing algorithm is stronger than the existing algorithms in the change of the illuminance according to the quantity of sunshine, and the smoke detection algorithm senses the pixel of a gray-scale with the smoke considering the amount of change for unit time, the effective early forest fire detection is possible. The experimental results indicate that the proposed algorithm provides better performance than existing algorithms.
Keywords
Forest Fire; Fire Detection; Smoke Detection;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 W. Phillips, M. Shah, N. da Vitoria Lobo, "Flame recognition in video," In Pattern recognition letters, Jan. 2002.
2 G. Marbach, M. Loepfe and T. Brupbacher, "An image processing technique for fire detection in video images," Fire Safety Journal, Volume 41, Issue 4, pp. 285-289, June 2006.   DOI   ScienceOn
3 B. Ugur Toreyin, Yigithan Dedeoglu and A. Enis Cetin, "Wavelet based realtime smoke detection in video," In 13th Eur. Signal Process. Conf. EUSIPCO, Sept. 2005.
4 이두희, 유재욱, 이강희, 김 윤, "실시간 산불 감지를 위한 화염 및 연기 검출 기법," 2010년 한국컴퓨터정보학회 동계학술대회 논문집 제 18권, 제 1호. 145-148쪽, 2010년 1월.
5 T. Chen, P. Wu, Y. Chiou, "An early fire-detection method based on image processing," In Proceedings of IEEE International on Image Processing, pp.1707 - 1710, Oct. 2004.
6 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, pp. 104-111, Oct. 2003.
7 Jessica Ebert, Jennie Shipley, "Computer vision based method for fire detection in color videos," In International Journal of Imaging 2009, Spring, Volume 2, 2009.
8 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, July 1989.
9 Turgay Celik, Huseyin Ozkaramanh and Hasan Demirel, "Fire and smoke detection without sensors: image processing-based approach," In Proc. 15th European Signal Processing Conf. pp.1794-8, Sep. 2007.
10 Turgay Celik, Hasan Demirel, "Fire detection in video sequences using a generic color model," Fire Safety Journal 44, pp. 147-158, Aug. 2009   DOI   ScienceOn
11 Ko B C, Cheong K H and Nam J Y, "Fire detection based on vision sensor and support vector machines," In Fire Safety Journal, Volume 44, Issue 3, pp. 322-329, Apr. 2009.   DOI   ScienceOn
12 이병무, 한동일, "터널 화재의 실시간 조기 탐지를 위한 화염 및 연기 검출 기법," 2008년 7월 전자공학회 논문지 제 45 권 SP 편 제 4 호. 59-70쪽, 2008년 7월.   과학기술학회마을
13 B. Ugur Toreyin, Yigithan Dedeoglu, Ugur Gudukbay and A. Enis Cetin, "Computer vision based method for real-time fire and flame detection," In Pattern Recognition Lett. 27 (2006), pp. 49-58, Jan. 2006.   DOI   ScienceOn
14 B. Ugur Toreyin, Yigithan Dedeoglu, and A. Enis Cetin, "CONTOUR BASED SMOKE DETECTION IN VIDEO USING WAVELETS," European Signal Processing Conference, EUSIPCO-06, Sept. 2006.
15 Z. Xiong, R. Caballero, H. Wang, A.M. Finn, M. A. Lelic, P.-Y. Peng, "Video-based smoke detection: possibilities, techniques, and challenges," In SUPDET, Mar. 2007.
16 Wieser D, Brupbacher T, "Smoke detection in tunnels using video images," In 12th international conference on automatic fire detection, Gaithersburg, USA, Mar. 2001.
17 Luis Merino, Fernando Caballero, J. R. Martinez-de Dios, Joaquin Ferruz and Anibal Ollero, "A cooperative perception system for multiple UAVs: Application to automatic detection of forest fires," In Journal of Field Robotics, Vol. 23, Iss 3-4, pp. 165-184, Feb. 2006.   DOI   ScienceOn
18 C. A. Poynton, "A Technical Introduction to Digital Video," John Wiley & Sons, 1996.