作者投稿和查稿 主编审稿 专家审稿 编委审稿 远程编辑

计算机工程 ›› 2011, Vol. 37 ›› Issue (11): 1-3. doi: 10.3969/j.issn.1000-3428.2011.11.001

• 博士论文 •    下一篇

基于边缘相似性的背景差鬼影判别方法

金 标1,2,3,胡文龙1,2   

  1. (1. 中国科学院电子学研究所,北京 100190;2. 中国科学院空间信息处理与应用系统技术重点实验室,北京 100190; 3. 中国科学院研究生院,北京 100190)
  • 收稿日期:2010-12-02 出版日期:2011-06-05 发布日期:2011-06-05
  • 作者简介:金 标(1984-),男,博士研究生,主研方向:视频运动目标检测与跟踪,基于内容的图像理解;胡文龙,研究员
  • 基金资助:

    国家“973”计划基金资助项目(2010CB327906)

Ghost Discriminant Method of Background Subtraction Based on Edge Similarity

JIN Biao   1,2,3, HU Wen-long  1,2   

  1. (1. Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China; 2. Key Laboratory of Spatial Information Processing and Application System Technology, Chinese Academy of Sciences, Beijing 100190, China; 3. Graduate University of Chinese Academy of Sciences, Beijing 100190, China)
  • Received:2010-12-02 Online:2011-06-05 Published:2011-06-05

摘要:

背景差视频运动目标检测算法存在的鬼影问题对智能视频监控应用有着严重的影响。通过实验发现鬼影和真实目标的前景差分图像具有不同的边缘相似特性,根据这一特性,定义图像边缘相似性度量函数,提出一种基于边缘相似性的鬼影判别方法。实验结果表明,与传统方法相比,该方法具有速度更快、适应性更好等优点。

关键词: 背景差, 运动目标, 鬼影, 边缘, 相似性度量

Abstract:

The problem of ghost objects seriously affects the intelligent video surveillance application in background subtraction method for moving objects detection in videos. According to the characteristic that the ghost’s foreground and the true object’s foreground are different in the similarities of edge, and by defining edge similarity measure functions, this paper presents a ghost discriminant algorithm based on edge similarity. Experimental results show that compared with traditional methods, this method is effective and robust.

Key words: background subtraction, moving object, ghost, edge, similarity measure

中图分类号: