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一种微小视频变化的移动检测方法

A motion detection method for tiny changes in a dynamic video surveillance system
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摘要 提出了一种用于数字视频监控系统中运动物体检测和报警的优化背景差法。针对该算法本文进行了详细的分析,并设计了算法流程。用此算法重建背景图像以及用图像差分算法计算像素改变比例,能监测慢速、微量变化的运动物体。最后与相邻帧差法进行了实验比对,实验结果表明该方法有明显的优势。优化背景差法实现简单、快速、有效,适用于对重点区域进行微小移动监测的监控系统。 An optimized background difference algorithm for moving object detection and alert is proposed for use in a real-time video surveillance system and its design analyzed in detail. Tiny changes in a moving object can be detected by rebuilding the image background using the algorithm and calculating the ratio of pixel changes by means of the difference image algorithm. Experiments showed that the method is superior to the neighbour frame difference algorithm. The algorithm proposed in this paper is simple and effective and it can be used for regional focus in video surveillance systems in order to detect slow and tiny changes.
作者 姜大光 易军凯 王金龙
机构地区 北京化工大学信息科学与技术学院
出处 《北京化工大学学报（自然科学版）》 CAS CSCD 北大核心 2008年第3期93-96,共4页 Journal of Beijing University of Chemical Technology(Natural Science Edition)
关键词 移动检测 背景重建 优化背景差法 微小变化 motion detection rebuild background image optimized background difference algorithm tiny change
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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共引文献284

北京化工大学学报（自然科学版）
2008年 第3期

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