A Novel Way for Fire Detection in The Video Using Hidden Markov Model
Computer vision and pattern recognition techniques have been recently applied to the fire detection. Unfortunately the complex environmental condition in some scenarios presents a unique challenge to the existing algorithms. In this paper, we propose a hierarchical framework for a more efficient fire detection. Firstly, we follow some classic algorithms to find the Candidate Area (CA) on each original video frame. Then, a group of Confident Points (CPs) are arranged around the boundary of a CA, after which a modified Hidden Markov Model (HMM) is used to describe the fires flickering characteristic Final experiments demonstrate that our proposed algorithms can well keep the robustness and stand the complexity imposed by varied outdoor circumstances, compared with previous algorithms.
Jian Ding Mao Ye
School of Computer Science and Engineering University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, P. R. China
国际会议
哈尔滨
英文
4413-4416
2011-08-12（万方平台首次上网日期，不代表论文的发表时间）