期刊文献+

光照变化的背景减除新算法 被引量:3

A New Background Subtraction Algorithm for Varying Illumination
下载PDF
导出
摘要 光照变化对传统的背景减除算法有很大的影响,文中提出一种新的基于矢量线性相关性分析的背景减除算法,可以适应光照的变化。先对图像序列建模,对比分析当前图像与背景,把当前图像分为无变化、光照变化和内容有变化的三类区域,然后对内容变化区域进行各个像素矢量线性相关性分析,判断像素属于前景还是背景,得到最终的结果。实验结果显示,这种方法对光照变化具有很好的适应性,改进了一般算法在光照变化时的性能。 Varying illumination influences the performance of traditional background subtraction algorithms. A new background subtraction algorithm based on analyzing vector linear dependence is proposed in this paper. It can tolerate varying illumination. Firstly, the paper constructs a background model. Then, it analyzes and compares current image with background model, classifies all the pixels into three classes which are invariant, varying illumination and varying content. Next, it analyzes the vector linear dependence of every pixel which belongs to varying content class. Finally, it gets the target which is linear independent. Experiment results indicate that this algorithm has better tolerance to varying illumination and improves the performance of traditional background subtraction algorithms.
出处 《计算机仿真》 CSCD 2007年第9期214-217,共4页 Computer Simulation
关键词 光照变化 相关性 景减除 Varying illumination Vector linear dependence Background subtraction
  • 相关文献

参考文献4

  • 1Piccardi Massimo.Background subtraction techniques:a review[R].The ARC Centre of Excellence for Autonomous Systems(CAS) Faculty of Engineering,UTS,April 15,2004.
  • 2Ying Ming,Jingjue Jiang,Jun Ming.Background Modeling and Subtraction Using a Local Linear Dependenc Based Cauchy Statistical Model[C].Proc.VIIth Digital Image Computing:Techniques and Applications,Sun C.,Talbot H.,Ourselin S.and Adriaansen T.(Eds.),10-12 Dec.2003,Sydney.
  • 3朱淼良,王东辉.基于视频页的视频流分割方法[J].计算机辅助设计与图形学学报,2000,12(8):585-589. 被引量:6
  • 4明英,边馥苓,蒋晶珏,王钢.对光照、阴影和反光具有鲁棒性的变化检测算法及实现[J].计算机工程与应用,2003,39(24):23-26. 被引量:3

二级参考文献14

  • 1朱亚萍.关于局部线性相关与WRONSKIAN行列式的讨论[J].盐城工学院学报,1998,11(4):65-68. 被引量:2
  • 2C Enrique et al.Orthogonal Sets and Polar Methods in Linear Algebra[M].New York :Wiley, 1999.
  • 3W Li,H Yue et al.Recursive PCA for adaptive pricess monitoring [C].In:World Congress of the international Federation of Automatic Control, 1999 : 85-90.
  • 4Kingsley Sage,Stewart Young.Security applications of computer vision [J].IEEE AES systems Magazine, 1999:19-24.
  • 5D Corrall.VIEW :Computer vision for surveillance applications[C].In: Inst Elect Eng Colloquium Active and Passive Techniques for 3D vision ,IEE,London, 1991 ;8:1-3.
  • 6K Skifstad,R Jain.Illunination independent change detection for real world image sequence[J].CVIP, 1989 ;46(3) :387-399.
  • 7Y Z Hsu et al.New likehood test methods for change detection in image sequences[J].Computer Vision Graphic Image Process, 1984 ;26 : 73-106.
  • 8T Aach et al.Statistical model-based change detection in moving video[J].Singal Process, 1993 ;31 : 165-180.
  • 9Xiong W,SPIE.3022,1997年,166页
  • 10Zhang H J,Pattern Recognition,1997年,30卷,4期,643页

共引文献7

同被引文献45

引证文献3

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部