An Algorithm of Early Smoke Detection Based on Multiple Features
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. Experimental results show that our algorithm has good detection performance and achieves real-time requirement which is very important for real application.
Smoke detection Codebook model Multiple features ROC curve
Mingxin Jiang Xingyang Cai Hongyu Wang
College of Electrical&Information Engineering Dalian University of Technology, Dalian, China College College of Electrical&Information Engineering Dalian University of Technology, Dalian, China
国际会议
沈阳
英文
1254-1257
2011-11-22(万方平台首次上网日期,不代表论文的发表时间)