摘要
针对交通视频监控存在树影等动态背景的问题,提出一种基于像素的双层背景构建模型来消除动态背景的干扰。首先,统计连续的图像帧,并对其进行形态学预处理;其次,根据对应图像的每个像素位置构造各自的灰度直方图;随后,通过计算得到直方图的峰值并据此将直方图分为两部分,根据该划分结果构造该像素的双层背景模型;最后,根据构建的双层背景模型实现目标前景的检测。试验结果表明:运用该方法能构建较好的背景模型,目标检测效果较好,可有效去除动态背景的干扰。
A two-layer background model is proposed to eliminate the influence of the dynamic background,such as shadow of trees,on the target detection from traffic surveillance video images.For doing so,the successive image frames are collected and processed with morphology processing first.Then,the histograms representing the pixel gray level variation at each point of the image frame are constructed.The peak values of the histograms are found,and the histograms are divided into two groups according to the peak values.The discrimination of the histograms leads to a two-layer background model for detecting targets.The experimental results show that the background model built with the method can effectively eliminate the interference of the dynamic background and improve the target detection.
出处
《上海船舶运输科学研究所学报》
2016年第1期69-72,共4页
Journal of Shanghai Ship and Shipping Research Institute
关键词
交通视频
动态背景
双层背景
直方图
traffic video
dynamic background
two-layer background
histogram
