Title :
A fire and flame detecting method based on video
Author :
Jin, Hong ; Zhang, Rong-biao
Author_Institution :
Sch. of Comput. Sci. & Telecommun. Eng., Jiangsu Univ., Zhenjiang, China
Abstract :
The paper proposes a novel method to detect fire and flame by processing the video data captured by an ordinary camera monitoring an open scene, which combined fire flicker and color clues to reach a final decision. First the image difference method and color analysis technique based on the HSI color model are applied to extract the fire-like moving region between two consecutive frames. Then the spectrum of the fire-like region flickering could be got by the Discrete Fourier Transform of the fire-like moving region sequence. Finally, a simple method is devised to estimate the fire alarm grade so that users could be informed with a proper alarm. Experimental results show that the fire detecting algorithm is fast, effective, and robust.
Keywords :
discrete Fourier transforms; flames; image colour analysis; image sequences; object detection; video signal processing; HSI color model; color analysis; discrete Fourier transform; fire detection; flame detection; image difference; image sequences; video signal processing; Cybernetics; Data engineering; Discrete Fourier transforms; Fires; Image analysis; Image color analysis; Layout; Machine learning; Robustness; Smoke detectors; DFT; Fire detect; HSI; Image difference;
Conference_Titel :
Machine Learning and Cybernetics, 2009 International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3702-3
Electronic_ISBN :
978-1-4244-3703-0
DOI :
10.1109/ICMLC.2009.5212165