DocumentCode :
2542691
Title :
Fire Detection Based on Feature of Flame Color
Author :
Yan, Yunyang ; Guo, Zhibo ; Wang, Hongyan
Author_Institution :
Dept. of Comput. Eng., Huaiyin Inst. of Technol., Huaiyin, China
fYear :
2009
fDate :
4-6 Nov. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Color and its distribution are important features of a flame image. Fire detection based on sequences of images is more suitable for the need in big room or badly environment. A new color model used to detect flame in an image is found. The model is based on the features that were linear transformed from RGB of the image color. Flames in video sequences are detected by using the features of color and its distribution. Experiments show that the fire detection system is able to work well and get high detection rate with a low false positive rate.
Keywords :
feature extraction; fires; image colour analysis; image sequences; object detection; RGB color space; feature extraction; fire detection; flame image color; video sequences; Computer Society; Computer vision; Feature extraction; Fires; Image color analysis; Logistics; Pattern recognition; Real time systems; Video sequences; Videoconference;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4199-0
Type :
conf
DOI :
10.1109/CCPR.2009.5344084
Filename :
5344084
Link To Document :
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