Early Flame Detection in Video Sequences based on D-S Evidence Theory

A multi-feature fusion early flame detection algorithm based on D-S evidence theory is proposed. In this algorithm, first the method based on YcbCr and RGB color spaces is used for extracting the flame region of interest. Then flame classifiers based on flame flicker frequency and flame image correlation between frames are selected as two features of D-S feature fusion, the basic probability assignment functions of two features are defined. Finally, the combination discipline of D-S evidence theory is used to determine the final result of all the feature classifiers. Experiments show that the proposed detection algorithm gives 89.5% correct flame rate with a 4.5% false alarm rate and the method is efficient and fast with wide application prospects in fire detection.