An improved Vibe algorithm for illumination mutations  

一种面向光照突变的改进Vibe算法

作　　者：LIANG Jincheng WANG Xiaopeng WANG Qingsheng 梁金诚;王小鹏;王庆圣(兰州交通大学电子与信息工程学院,甘肃兰州730070)

机构地区：[1]School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China

出　　处：《Journal of Measurement Science and Instrumentation》2022年第2期184-191,共8页测试科学与仪器（英文版）

基　　金：National Natural Science Foundation of China(No.61761027)。

摘　　要：The visual background extractor(Vibe)algorithm can lead to a large area of false detection in the extracted foreground target when the illumination is mutated.An improved Vibe method based on the YCbCr color space and improved three-frame difference is proposed in this paper.The algorithm detects the illumination mutation frames accurately based on the difference between the luminance components of two frames adjacent to a video frame.If there exists a foreground moving target in the previous frame of the mutated frame,three-frame difference method is utilized;otherwise,Vibe method using current frame is used to initialize background.Improved three-frame differential method based on the difference in brightness between two frames of the video changes the size of the threshold adaptively to reduce the interference of noise on the foreground extraction.Experiment results show that the improved Vibe algorithm can not only suppress the“ghost”phenomenon effectively but also improve the accuracy and completeness of target detection,as well as reduce error rate of detection when the illumination is mutated.

关 键 词：moving target detection visual background extractor(Vibe)algorithm YCbCr color space three-frame difference method 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]