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智能视频监控中的遗留物检测技术

张具琴 王海洋 胡振

计算机与现代化Issue(12):54-57,4.
计算机与现代化Issue(12):54-57,4.DOI:10.3969/j.issn.1006-2475.2014.12.012

智能视频监控中的遗留物检测技术

Abandoned Objects Detection in Intelligent Video Surveillance

张具琴 1王海洋 1胡振1

作者信息

  • 1. 黄河科技学院信息工程学院,河南 郑州 450063
  • 折叠

摘要

Abstract

A detection technology in intelligent video surveillance was researched .A method of automatically detecting abandoned objects and alerting in video surveillance environment was given , and also the detection algorithm was analysed in detail .By dy-namic threshold background subtraction algorithms and background updating algorithm , the adaptability of the system in complex scenes was improved .This method can accurately detect the abandoned objects in the complex background , such as box , bag and so on, and provide key frames .The effectiveness of this method was confirmed by experimental results .

关键词

遗留物检测/动态阈值/背景差分法/自适应/最大类间方差法

Key words

abandoned object detection/dynamic threshold/background subtraction method/adaptive/method of maximum classes square error

分类

信息技术与安全科学

引用本文复制引用

张具琴,王海洋,胡振..智能视频监控中的遗留物检测技术[J].计算机与现代化,2014,(12):54-57,4.

基金项目

郑州市无线与移动通信网络应用技术科技创新团队项目 ()

计算机与现代化

OACSTPCD

1006-2475

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