面向运动目标检测的ViBe算法改进  

An Improved Vi Be Algorithm for Moving Object Detection

作　　者：徐久强[1] 江萍萍[1] 朱宏博[1] 左伟[1] 

机构地区：[1]东北大学信息科学与工程学院,辽宁沈阳110819

出　　处：《东北大学学报（自然科学版）》2015年第9期1227-1231,共5页Journal of Northeastern University(Natural Science)

基　　金：国家科技支撑计划项目(2012BAH82F04)

摘　　要：背景差分法是静态背景下运动目标检测的常用方法,ViBe算法是它的主要建模方法之一.针对ViBe算法对鬼影消除缓慢的问题,提出了结合帧间差分技术的ViBe改进算法,使用帧间差分技术通过记录相关像素值的时域变化来判断鬼影像素,提高消除鬼影的速度.针对ViBe算法的固定阈值不能反映每个像素具体情况的问题,提出了一种自适应阈值的方法,可根据像素值的变化为每个像素设定阈值,提高前景检测的准确度.实验结果表明,结合帧间差分技术的ViBe算法能够较快地消除检测结果中的鬼影,应用自适应阈值的ViBe算法能够更准确地进行前景检测.Background differencing is the commonly used method for the detection of moving objects in the static background,and the ViBe algorithm is the main modeling approach.In order to solve the problem about low rate of ghost elimination caused by the execution of ViBe algorithm,an improved ViBe algorithm combining with frame difference method is proposed.By using the frame difference method,the ghost pixel is judged according to the changes in time domain for related pixel value,which can improve the rate of ghost elimination.Since the specific condition of each pixel cannot be reflected with the fixed threshold,a method with self-adaptive threshold is proposed.The threshold of each pixel is set according to the change of the pixel value,which can improve the accuracy of foreground detection.The experimental results show that the ViBe algorithm combining with frame difference technology can be used to eliminate the ghost in the detection results more quickly,and the foreground can be detected more accurately using the ViBe algorithm with self-adaptive threshold.

关 键 词：运动目标检测 背景差分法 ViBe 算法 鬼影消除 自适应阈值 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]