NDLI: Flame Feature Model Development and Its Application to Flame Detection

Content Provider	IEEE Xplore Digital Library
Author	Tai-Fang Lu Chien-Yuan Peng Wen-Bing Horng Jian-Wen Peng
Copyright Year	2006
Description	Author affiliation: Dept. of Appl. Math., Providence Univ. (Tai-Fang Lu; Chien-Yuan Peng; Wen-Bing Horng; Jian-Wen Peng)
Abstract	In this study, both linear discriminant technique and logistic regression method are considered and compared to develop a flame feature model. Based on the comparison, the logistic regression method is chosen and plugged into a flame detection system for segmenting the fire regions. Some spurious fire-like regions are then removed by the image difference method and the invented color masking technique. Finally, a simple method is devised to estimate the burning degree of the fire flame so that users could be informed with a proper warning alarm. The proposed method is tested with twelve diverse fire flame video clips at the process speed of thirty frames per second. The proposed method can achieve more than 97% detection rate on the average. In addition, the system can correctly recognize fire flames within one second on the initial combustion from the test video clips, which seems very promising
Sponsorship	IEEE ICIC Int. National Natural Sci. Found. of China Beijing Jiaotong Univ. Kaosiung Univ. of Appl. Sci
Starting Page	158
Ending Page	161
File Size	383911
Page Count	4
File Format	PDF
ISBN	0769526160
DOI	10.1109/ICICIC.2006.82
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Infrared detectors Computer science Image segmentation Image color analysis Fires Image sampling Mathematics Application software Logistics Testing
Content Type	Text
Resource Type	Article

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