Fire Detection Based on Connected Region and SVM Feature Fusion

In order to reduce the suspected flame area as much as possible,improve the accuracy and real-time character of the fire detection,this paper proposed the thought that the moving target detection is applied to flame detection.First,the movement regions were extracted using background subtraction method.Then the flame's suspected region and its contour were accurately extracted using the area threshold based on connected region.And then according to the early fire's visual characteristic,four features were extracted,namely:red proportion average rate of increase,area rate of increase,average similar degree of form and the value of round scale of adjacent frames.Finally,these features were fused by SVM to detect the fire.The experiment results show the algorithm is of high efficiency,good detection effect,low misjudgment rate and good anti-interference capability.