基于码本模型和多特征的早期烟雾检测

姜明新; 王洪玉; 蔡兴洋

doi:10.11834/jig.20120908

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基于码本模型和多特征的早期烟雾检测
Early smoke detection based on codebook model and multiple features
2012年17卷第9期页码：1102-1108
纸质出版：2012
DOI： 10.11834/jig.20120908
稿件说明：

移动端阅览

姜明新, 王洪玉, 蔡兴洋. 基于码本模型和多特征的早期烟雾检测[J]. 中国图象图形学报, 2012,17(9):1102-1108. DOI： 10.11834/jig.20120908.

Jiang Mingxin, Wang Hongyu, Cai Xingyang. Early smoke detection based on codebook model and multiple features[J]. Journal of Image and Graphics, 2012, 17(9): 1102-1108. DOI： 10.11834/jig.20120908.

摘要

提出一种基于码本模型和多特征的早期烟雾检测算法。首先

利用码本模型进行前景提取;然后

结合烟雾的颜色模型和形状特征模型检测前景中的疑似烟雾区域;最后

利用烟雾的动态特性

有效地降低误检率

提高算法的鲁棒性。通过ROC曲线对比

实验结果表明

该算法具有良好的烟雾检测能力。同时

能够满足实时性要求

具有较高的实用价值。

Abstract

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.