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高速公路监控视频中运动车辆对象提取

严明 李玉惠 李勃 张帆

微型机与应用Issue(2):41-43,3.
微型机与应用Issue(2):41-43,3.

高速公路监控视频中运动车辆对象提取

Vehicles extraction in highway surveillance video

严明 1李玉惠 1李勃 1张帆1

作者信息

  • 1. 昆明理工大学 信息工程与自动化学院,云南 昆明 650505
  • 折叠

摘要

Abstract

In this paper , combined with the characteristics of highway traffic video , it puts forward the method of moving vehi-cle object extraction in monitoring . The method using the mixed background difference method to extract moving objects , and using morphological processing , back N frames and semi supervised to extract cars in the video . The experimental results show that the method improves the problems of holes , noise and non-integrity and nonsignificant characteristics of vehicle in the process of mov-ing object extraction in traditional mixed Gauss backgound differential , this method can effectively improve the extraction process of vehicle object .

关键词

车辆对象提取/背景差分法/后退N帧算法/自适应阈值

Key words

vehicle extraction/background model/N-frame back/adaptive threshold

分类

信息技术与安全科学

引用本文复制引用

严明,李玉惠,李勃,张帆..高速公路监控视频中运动车辆对象提取[J].微型机与应用,2014,(2):41-43,3.

基金项目

国家自然科学基金资助 ()

微型机与应用

2097-1788

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