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