J. Z. Rong, D. C. Zhou, W. Yao, W. Gao, J. Chen and J. Wang (2013) Fire flame detection based on GICA and target tracking. Journal/Optics And Laser Technology 47 283-291. [In English]
Web link: http://dx.doi.org/10.1016/j.optlastec.2012.08.040
Keywords: Video fire detection, Generic color model, Cumulative geometrical, independent, component analysis, INDEPENDENT COMPONENT ANALYSIS, SEPARATION, ALGORITHM, VIDEO, SURVEILLANCE, SIGNALS
Abstract: To improve the video fire detection rate, a robust fire detection algorithm based on the color, motion and pattern characteristics of fire targets was proposed, which proved a satisfactory fire detection rate for different fire scenes. In this fire detection algorithm: (a) a rule-based generic color model was developed based on analysis on a large quantity of flame pixels, (b) from the traditional GICA (Geometrical Independent Component Analysis) model, a Cumulative Geometrical Independent Component Analysis (C-GICA) model was developed for motion detection without static background and (c) a BP neural network fire recognition model based on multi-features of the fire pattern was developed. Fire detection tests on benchmark fire video clips of different scenes have shown the robustness, accuracy and fast-response of the algorithm. (C) 2012 Elsevier Ltd. All rights reserved.