计算机应用 ›› 2013, Vol. 33 ›› Issue (05): 1401-1410.DOI: 10.3724/SP.J.1087.2013.01401

• 多媒体处理技术 • 上一篇    下一篇

基于背景图像集与稀疏分析的运动目标检测

包金宇,王慧斌,陈哲,沈洁   

  1. 河海大学 计算机与信息学院,南京 210000
  • 收稿日期:2012-11-19 修回日期:2012-12-19 出版日期:2013-05-01 发布日期:2013-05-08
  • 通讯作者: 王慧斌
  • 作者简介:包金宇(1988-),男,江苏苏州人,硕士研究生,主要研究方向:视频图像运动目标跟踪;王慧斌(1967-),男,山西阳泉人,教授,博士, CCF会员,主要研究方向:视频信息处理、多传感器信息融合、多媒体通信;陈哲(1983-),男, 江苏徐州人,博士研究生,主要研究方向:智能信息处理、图像处理、水下图像处理;沈洁(1980-),女,江苏苏州人,博士研究生,主要研究方向:信号与信息处理。
  • 基金资助:

    江苏省高校科研成果产业化推进项目(JHB2011-6)

Moving object detection based on background image set and sparse analysis

BAO Jinyu,WANG Huibin,CHEN Zhe,SHEN Jie   

  1. Institute of Computer and Information, Hohai University, Nanjing Jiangsu 210000, China
  • Received:2012-11-19 Revised:2012-12-19 Online:2013-05-08 Published:2013-05-01
  • Contact: WANG Huibin

摘要: 组视频序列中得到系列背景图像,组合这些背景图像为背景集合。以图像块为基本单元,基于稀疏表示方法对图像块分析处理,提取运动目标。实验仿真表明该方法能够在环境光照突变时,有效消除噪声对目标检测的影响,降低目标检测的误检率,达到较为鲁棒的检测效果。

关键词: 图像处理, 目标检测, 背景图像集, 稳健主成分分析, 稀疏表示

Abstract: This paper proposed a moving target detection method based on the background image set and sparse representation. The method combined the Robust Principal Component Analysis (RPCA) and the image block analysis method based on sparse representation. The authors got a series of background images from a video sequence by RPCA, and combined these background images as the background image set, treating image block as basic unit, and moving target was extracted from input frame by image block analysis method based on sparse representation. The simulation results indicate that when the background illumination mutates, the proposed method can effectively eliminate the impact of environment noise and reduce the false detection rate of target detection.

Key words: image processing, target detection, background image set, Robust Principal Component Analysis (RPCA), sparse representation

中图分类号: