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《Journal of Graphics》 2017-04
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Video Fire Detection Based on Fusion of Multiple Features

ZENG Sitong;WU Haibin;SHEN Peihui;Mechanical Engieering Department, Fujian Chuanzheng Communications College;College of Mechanical Engineering and Automation, Fuzhou University;  
Video fire detection has important practical significance for fire safety. According to low detection rate and high false-alarm rate in the current flame detection algorithm, a novel method to detect flame is proposed, which combined flame motion detection, color clues and realized the multi-feature fusion based on the analytic hierarchy process(AHP). Firstly, the background modeling is carried out by optimizing the selective background updating to extract the fire-like moving region. Secondly, the color analysis technique is applied to extract suspiciousflametarget. Thirdly, study the dynamic features of flame and discuss detailed frequency property, angle, roundness characteristics, areagrowth and overall movement of the flame. Finally, a method of realizing the multi-feature fusion based on AHP for calculating the weight of the dynamic features of flame is proposed. The experimental results on the flame video library show that the proposed method is accurate and robust, which has high detection rate and low false-alarm rate.
【Fund】: 国家自然科学基金项目(51175084);; 福建省自然科学基金项目(2015J01186);; 福建省教育厅科技基金项目(JA15662)
【CateGory Index】: TP391.41
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