基于背景融合和信道计算的ViBe算法

Han He, Zuofeng Zhou, Qingquan Wu
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引用次数: 0

摘要

ViBe (Visual background extractor)算法是一种基于背景建模的运动目标检测算法,利用域像素进行背景建模并实时更新背景模型。但是传统的ViBe算法会产生重影和阴影部分误检等缺点。本文利用图像融合机制解决了重影问题,通过阴影本身的特征,利用阴影部分的三通道方差值进行阴影检测并消除阴影。实验表明,该算法可以快速有效地解决ViBe算法中的鬼影问题
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ViBe algorithm based on background fusion and channel calculation
ViBe (Visual background extractor) algorithm is a motion target detection algorithm by background modeling, uses domain pixels for background modeling and updates the background model in real time. However, the traditional ViBe algorithm will produce disadvantages such as ghosting and shadow part false detection. This paper solves the problem of ghosting by image fusion mechanism, through the characteristics of the shadow itself, using the shadow part of the three-channel variance value for shadow detection and eliminate the shadow. The experiments show that our algorithm can quickly and effectively solve the ghost and shadow problems in the ViBe algorithm
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