A flame detection method based on the Amount of Movement of the Flame Edge

Author

Hongke Xu ; Yanyan Qin ; Yong Pan ; Hao Chen

Author_Institution

Sch. of Electron. & Control Eng., Chang´an Univ., Xi´an, China

fYear

2013

fDate

9-11 June 2013

Firstpage

253

Lastpage

256

Abstract

This paper proposes a flame detection method based on the Amount of Movement of the Flame Edge (AMFE) for detecting the fire with the characteristic of the flame edge´s constant motion. Firstly, background update has to be done to extract moving regions. And then the suspect area of similar flame color will be identified from the moving regions based on HSI color model. Finally, the paper construct curve of the AMFE of the flame suspect area, and make use of the local maxima of the wavelet coefficient of the high-frequency components to detect whether there is flame in a video sequence with the application of wavelet transform on this curve. The experiment results prove the accuracy and the effectiveness of this method.

Keywords

edge detection; flames; image colour analysis; image motion analysis; image sequences; video signal processing; wavelet transforms; AMFE; HSI color model; background update; fire detection; flame color; flame detection method; flame edge constant motion; flame suspect area; high-frequency components; moving regions; paper construct curve; video sequence; wavelet coefficient; wavelet transform; Feature extraction; Fires; Image color analysis; Image edge detection; Wavelet coefficients; AMFE; HSI color model; Suspect area; Wavelet;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Information Processing (ICICIP), 2013 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4673-6248-1

Type

conf

DOI

10.1109/ICICIP.2013.6568077

Filename

6568077