Early smoke detection based on codebook model and multiple features
基于码本模型和多特征的早期烟雾检测

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.