An early smoke detection algorithm based on codebook model and multiple features is presented in this paper. First

the foreground is obtained by using the codebook algorithm. Second

the model of color distribution and the model of shape feathers of smoke are applied to detect the suspected smoke area in the foreground. Finally

the false alarm rate is reduced effectively by using dynamic features in the diffusion process of smoke. Comparing with other algorithms using ROC curve

the experimental results show that our algorithm has good detection performance and achieves real-time requirement which is very important for many applications.