Contour Extraction of Flame for Fire Detection

Article Preview

Abstract:

Fire detection based on sequences of images is more suitable for the need in big room or badly environment. Color and contour are both the important features of a flame image. The method to extract the contour feature of a flame image is developed based on threshold of flame area. The edges of the burning flames jitter continuously, but their contour are similar each other. The method to detect flames in video sequences is proposed here based on flame’s dynamic contour. Many experiments show that the system is able to work well and get high detection rate with a low false positive rate.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

1106-1110

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Healey, G. A system for real-time fire detection. Proc. Computer Vision and Pattern Recognition. IEEE Computer Society, 1993. New York: pp.605-606.

Google Scholar

[2] Yamagishi, H. and J. Yamaguchi. A contour fluctuation data processing method for fire flame detection using a color camera. Proc. IEEE 26th Annual Conference on IECON of the Industrial Electronics Society. 2000. Nagoya, Japan: pp.824-829.

DOI: 10.1109/iecon.2000.972229

Google Scholar

[3] Yamagishi, H. and J. Yamaguchi. Fire flame detection algorithm using a color camera. Proc. International Symposium on Micromechatronics and Human Science. 1999. Nagoya, Japan: pp.255-260.

DOI: 10.1109/mhs.1999.820014

Google Scholar

[4] Toreyin, B.U., Y. Dedeoglu, and A.E. Cetin. Flame detection in video using hidden markov models. Proc. IEEE ICIP. (2005).

DOI: 10.1109/icip.2005.1530284

Google Scholar

[5] CHEN, T., C. KAO, and S. CHANG. An intelligent real-Time fire-detection method based on video processing. Proc. IEEE 37th International Carnahan Conference on Secur-ity Technology. 2003: pp.104-111.

DOI: 10.1109/ccst.2003.1297544

Google Scholar

[6] Horng, W. -B., J. -W. Peng, and C. -Y. Chen. A new image-based real-time flame detection method using color analysis. Proc. IEEE International Conference on Networking, Sensing and Control. 2005. Tucson, Arizona, USA: pp.100-105.

DOI: 10.1109/icnsc.2005.1461169

Google Scholar

[7] Turgay, C., et al., Fire detection using statistical color model in video sequences. Journal of Visual Communication and Image Representation, 2007. 18(2): pp.176-185.

DOI: 10.1016/j.jvcir.2006.12.003

Google Scholar

[8] YAN Yunyang, GUO Zhibo, and WANG Hongyan. Fire Detection based on Feature of Flame Color. Proc. CCPR 2009, and CJKPR. 2009. Nanjing, China: pp.349-353.

Google Scholar

[9] DANG Xiangying, WU Xisheng, and ZHAO Yong, New enhanced image quality interpolation algorithm based on edge detection. Computer Engineering and Design, 2007. 28(15): pp.3636-3639.

Google Scholar

[10] ZHANG Yujin, Image Engineering(final volumes)-Image Understanding and Computer Vision[M]. Beijing: Tsinghua University Press. (2000).

Google Scholar

[11] CHENG Xin, WANG Dachuan, YIN Dongliang, Image type fire flame detecting principle. Fire Safety Science, 2005. 14(4): pp.239-244.

Google Scholar