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Automatic fire flame detection is important for intelligent video surveillance. The background model and various color features are usually adopted for flame detection. In this paper, a fire flame detection method is developed by combining both background subtraction and region covariance. The color distribution method and background model with an adaptive background learning model are used to preprocess...
A level set method is proposed for flame front detection and curvature calculation on turbulent premixed OH Planar Laser Induced Fluorescence (OH-PLIF) images. The Flame front on an OH-PLIF image is detected by our proposed curve evolution model. In this model, a global term is designed to make the evolution curve converge to the flame front and a Gaussian kernel function is used to detect the flame...
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