摘要
针对列车视频监控中监控背景易被遮挡的现象,在单高斯背景模型的基础上,提出了一种结合背景减除法和最佳分割阈值迭代思想的图像遮挡提取算法,该算法可以解决列车视频监控中的背景模型更新不及时以及阴影消除的问题。测试结果表明,本文算法可以有效地对列车视频监控场景中遮挡视频的物体进行分析提取,并发出报警提示,为列车监控系统提供数据分析。
In train video,aimed at the obscured phenomenon of surveillance to static background,on the basis of the single gaussian background model,a kind of image block extraction algorithm of background subtraction division and the best segmentation threshold iterative idea was put forward.This algorithm could solve the background model update and shadow elimination of moving object detection.Experimental results showed that the algorithm could effectively analyze the monitoring of shade object in the scene to extract and the data analysis for train monitoring system.
出处
《辽宁石油化工大学学报》
CAS
2015年第3期61-64,共4页
Journal of Liaoning Petrochemical University
基金
辽宁省自然科学基金项目(20082011)
关键词
视频遮挡
单高斯背景模型
背景减除法
视频监控
运动物体检测
Video shade
Single gaussian background model
Background difference method
Video monitoring
Moving object detection
