[1]侯宏录 李宁鸟 刘迪迪 陈杰.智能视频监控中运动目标检测的研究[J].计算机技术与发展,2012,(02):49-52.
　HOU Hong-lu,LI Ning-niao,LIU Di-di,et al.Research on Moving Target Detection of Intelligent Video Surveillance[J].,2012,(02):49-52.
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智能视频监控中运动目标检测的研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年02期
页码:
49-52
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Research on Moving Target Detection of Intelligent Video Surveillance
文章编号:
1673-629X（2012）02-0049-04
作者:
侯宏录 李宁鸟 刘迪迪 陈杰
西安工业大学光电工程学院
Author(s):
HOU Hong-lu; LI Ning-niao; LIU Di-di; CHEN Jie
School of Optoelectronic Engineering,Xi＇an Technological University
关键词:
智能视频监控; 运动目标检测; OpenCV; 背景差分法
Keywords:
intelligent video surveillance;  moving target detection;  OpenCV;  the background difference method
分类号:
TP391.41
文献标志码:
A
摘要:
针对某武器试验中背景复杂,现有的背景差分法在背景模型的维持和更新不能用于长期和复杂的场景,以及对近地目标提取检测困难的问题,提出一种改进的背景差分法。该算法采用结合邻域信息的背景差分法和最大方差阈值法,能够在一定程度上减小背景滞后更新引起的运动目标检测误差,且使目标边缘提取更加明确,从而提高了系统的运行速度,实现复杂背景下的运动目标检测。在Visual C＋＋6.0中用OpenCV实现了相关算法的设计,并给出了完成系统任务所需的部分关键代码,实现了运动目标和试验场景的分离与提取。仿真实验验证了该算法的有效性以及实时性
Abstract:
Propose a kind of improved background difference method against the complex background in weapons testing,for the reason that the background difference in the current can＇t be used to maintain and update the background model of the long-term and complex scenes.The proposed method combines the background method using neighborhood information and the maximum variance threshold,which can reduce the deviation in moving target detection to some extent,and extract the edge of the target more clearly,thus improves operating speed of the system and achieves moving target detection in complex background.Corresponding algorithm is designed using OpenCV in Visual C＋＋ 6.0,and part of the key codes are given.Separation and extraction of the moving target from the testing scene are achieved by using the codes,and simulation results show the effectiveness and real-time of the algorithm

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备注/Memo

备注/Memo:
陕西省科学技术研究发展计划项目（2011K06-22）侯宏录（1960-），男，教授，主要研究方向为光电测试，信息融合，复杂系统建模、仿真与作战效能评估
更新日期/Last Update: 1900-01-01