Fangming Bi1, 2, Xuanyi Fu1, 2, Wei Chen1, 2, 3, *, Weidong Fang4, Xuzhi Miao1, 2, Biruk Assefa1, 5
CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 199-216, 2020, DOI:10.32604/cmc.2020.06258
Abstract Aiming at the defects of the traditional fire detection methods, which are
caused by false positives and false negatives in large space buildings, a fire identification
detection method based on video images is proposed. The algorithm first uses the hybrid
Gaussian background modeling method and the RGB color model to perform fire
prejudgment on the video image, which can eliminate most non-fire interferences.
Secondly, the traditional regional growth algorithm is improved and the fire image
segmentation effect is effectively improved. Then, based on the segmented image, the
dynamic and static features of the fire flame are further analyzed and extracted… More >
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