Title :
A new fire detection method based on integrated features
Author :
Mengxin, Li ; Weijing, Xu ; Ying, Zhang ; Rui, Zhang
Author_Institution :
Sch. of Inf. & Control Eng., Shenyang Jianzhu Univ., Shenyang, China
Abstract :
Because of high fire frequency and huge losses, the research of fire signal detection in the monitoring system is an important task in the fire-preventing field. A new fire signal detection method based on integrated features of flame is proposed in the paper. With the difference of background and foreground objects achieved in video, the moving target can be detected to judge if there are characteristics of flame, which includes color and saturation, flashing characteristics, spatial wavelet energy and circularity. The fire signal detection method presented can overcome the shortcomings that exist in some traditional methods i.e. it can surmount the large impact on environmental interference factors, such as temperature, photographic and smoke of environment. By a large amount of experiments, it shows clearly that the error rate of flame recognition is low, and also the real-time ability and the anti-disturbance ability are very good.
Keywords :
computerised monitoring; flameproofing; flames; image colour analysis; image motion analysis; image recognition; interference (signal); video signal processing; wavelet transforms; antidisturbance ability; background objects; environmental interference factors; environmental smoke; fire frequency; fire prevention; fire signal detection method; flame characteristics; flame circularity; flame color; flame integrated features; flame recognition error rate; flame saturation; flashing characteristics; foreground objects; monitoring system; moving target detection; photographic; real-time ability; spatial wavelet energy; temperature; videos; Adaptation models; Feature extraction; Fires; Image color analysis; Monitoring; Object detection; Wavelet transforms; Detection of moving foreground; circularity of flame; color features; flashing characteristics; spatial wavelet energy;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244151