Title :
Dynamic features and color feature based fire smoke detection
Author :
Zhai Wenpeng ; Wu Aiguo ; Du Chunyan
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Abstract :
In the large space, especially outdoor high-speed airflow occasions, early fire smoke detection is a problem all over the world for a long time. Traditional smoke detectors do not meet the requirements. A smoke detection method based on smoke dynamics feature and color feature is proposed. Experimental results show that the method efficiently detect the early fire smoke and reduce the false alarms of the fire surveillance system.
Keywords :
feature extraction; image colour analysis; smoke detectors; video surveillance; fire smoke detection; fire surveillance system; smoke color feature; smoke detectors; smoke dynamics feature; Color; Dynamics; Electronic mail; Feature extraction; Fires; Manganese; Motion segmentation; Color Features; Dynamic Features; Segmentation of Motion; Smoke;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6