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基于双层背景的遗弃物检测方法

王琛 郭继昌 冯晓敏

计算机工程2011,Vol.37Issue(24):167-168,172,3.
计算机工程2011,Vol.37Issue(24):167-168,172,3.DOI:10.3969/j.issn.1000-3428.2011.24.056

基于双层背景的遗弃物检测方法

Abandoned Object Detection Method Based on Double Layer Background

王琛 1郭继昌 1冯晓敏1

作者信息

  • 1. 天津大学电子信息工程学院,天津300072
  • 折叠

摘要

Abstract

An abandoned objects detection method based on double background is presented in this paper. Sliding average model and improved Gaussian Mixture Model(GMM) are used respectively to construct separate reference and dynamic background. Compared the two prospects of the two layers, static object and ghost are labeled. Ghost can be eliminates by using the histogram matching method with the stationary objects. Based on the foreground detection, Mean Shift algorithm and particle filter algorithm are used to tracking. Experiment results prove the validity of the method.

关键词

高斯混合模型/滑动平均算法/鬼影/静止前景检测/目标跟踪/遗弃物检测

Key words

Gaussian Mixture Model(GMM)/ slide average algorithm/ ghost/ static foreground detection/ target tracking/ abandoned object detection

分类

信息技术与安全科学

引用本文复制引用

王琛,郭继昌,冯晓敏..基于双层背景的遗弃物检测方法[J].计算机工程,2011,37(24):167-168,172,3.

基金项目

天津市科技支撑计划基金资助项目(10ZCKFGX00700) (10ZCKFGX00700)

计算机工程

OACSCDCSTPCD

1000-3428

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