[1]黄景星,吴伟隆,龙楚君,等.基于OpenCV的视频运动目标检测及其应用研究[J].计算机技术与发展,2014,24(03):15-18.
　HUANG Jing-xing,WU Wei-long,Long Chu-jun,et al.Study of Moving Object Detection in Video and Its Application Based on OpenCV[J].,2014,24(03):15-18.
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基于OpenCV的视频运动目标检测及其应用研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年03期
页码:
15-18
栏目:
智能、算法、系统工程
出版日期:
2014-03-31

文章信息/Info

Title:
Study of Moving Object Detection in Video and Its Application Based on OpenCV
文章编号:
1673-629X（2014）03-0015-04
作者:
黄景星; 吴伟隆; 龙楚君; 张明军
广州大学华软软件学院 网络技术系
Author(s):
HUANG Jing-xing; WU Wei-long；Long Chu-jun；ZHANG Ming-jun
关键词:
视频; 运动目标检测; 高斯混合模型; OpenCV
Keywords:
video; moving object detection; Gaussian mixture model; OpenCV
分类号:
TP391.4
文献标志码:
A
摘要:
高斯混合模型已经成为对视频利用背景减除法进行运动目标检测的最多的一种背景建模模型，也成为一种标准模型。首先对高斯混合模型的理论框架进行了分析，然后采用OpenCV技术实现高斯混合模型来检测视频运动目标，实验结果表明高斯混合模型对摄像头静止的道路监控视频运动目标检测具有较好的效果。最后以该运动目标检测技术为基础设计了一种智能视频监控系统，该系统具有较好的实用性。
Abstract:
Gaussian mixture model is the most used method for background modeling of the implementation of background subtraction in video sequences,and has become the standard method. First analyze the theory framework underlying the method,then use OpenCV tech-nology to implement it. The results show that the Gaussian mixture model has a good effect on the moving object detection of road moni-tor video. Finally,design an intelligent video monitoring system based on the moving object detection,the system has better practicability.

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更新日期/Last Update: 1900-01-01