DocumentCode
2099318
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
fYear
2010
fDate
29-31 July 2010
Firstpage
3052
Lastpage
3055
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5573126
Link To Document