Aiming at the problem of low detection rate and high false-alarm rate in current fire detecting method

an algorithm for video flame detection based on fusion feature and support vector machine（ SVM） is proposed.Moving target is obtained by an improved adaptive Gaussian mixture modeling method

the candidate flame regions are segmented combined with flame color model; the texture

geometric and dynamic characteristics of the suspected flame regions are obtained. The above characteristic quantity is fused

and fire recognition is achieved by the trained SVM before. Experimental results on test videos show that the proposed algorithm has good detection effect

it is a high efficient flame detection algorithm.