计算机与数字工程2019，Vol.47Issue(8)：2039-2043,5.DOI:10.3969/j.issn.1672-9722.2019.08.041
结合显著性的视频火焰检测
Video Flame Detection Combined with Visual Saliency
张楠波 1俞孟蕻 1黄炜亮 1李袁1
作者信息
- 1. 江苏科技大学计算机学院 镇江 212000
- 折叠
摘要
Abstract
In this paper,a Gauss distribution model based on RGB color channel is proposed in view of the model defects in the traditional flame color detection. The skewness of a flame image is defined according to the asymmetry of the R channel pixel val?ues distributed around the average value of the flame image. Then it introduces the concept of visual saliency from bottom to top. First,the three initial stage image features of the image are obtained from the video frame sequence,which are local saliency,glob?al saliency and sparsity. Then the three characteristic maps are weighted together,and the comprehensive flame saliency map is ob?tained to represent the candidate region of the flame. Finally,the space structure of the flame and the characteristics of the region ge?ometry are extracted,and the final classification and discrimination are carried out by the support vector machine. The experimental results show that the accuracy of the algorithm is high and the anti-interference ability is strong.关键词
火焰检测/视觉显著性/特征提取/支持向量机Key words
fire detection/visual saliency/feature extraction/support vector machine分类
信息技术与安全科学引用本文复制引用
张楠波,俞孟蕻,黄炜亮,李袁..结合显著性的视频火焰检测[J].计算机与数字工程,2019,47(8):2039-2043,5.
