Title :
An image-based fire detection method using color analysis
Author :
Shao, Jing ; Wang, Guanxiang ; Guo, Wei
Author_Institution :
Beijing Int. Center of Math. Res., Beijing, China
Abstract :
In this paper, an image-based flame pixel detection method is proposed. Based on detailed observation of the color distribution in RGB space, an algorithm to extract the candidate flame pixels is proposed. After removing the falsely extracted fire-like pixels, we restore the mistakenly removed flame faults and holes and reconstruct the flame region. The experimental results are compared with other methods. It shows a higher accuracy and robustness of fire detection by our proposed method. A high accuracy is necessary and important for the next step to detect fire dynamic features.
Keywords :
feature extraction; fires; flames; image colour analysis; object detection; RGB space; candidate flame pixels; color analysis; color distribution; falsely extracted fire-like pixels; fire dynamic feature detection; flame faults; image-based fire detection method; image-based flame pixel detection method; Fires; color analysis; feature extraction; fire detection; region reconstruction;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6309027