一种改进的双背景模型vibe算法用于快速抑制鬼像

Baoyu Song, Botao Wang
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引用次数: 1

摘要

针对传统ViBe算法在运动目标检测过程中容易出现鬼影区的问题,提出了一种改进的ViBe算法。在背景模型初始化阶段,为每个像素添加一个时间背景模型,利用像素的时间特征;同时,对原始背景模型进行改进,通过比较帧间的汉明距离确定用于建模的图像。实现了双背景模型的共存。在前景检测阶段,改进了前景检测的决策机制,即利用当前像素点与时间背景模型样本中值之间的欧氏距离来补充决策;最后,设计了一种交叉更新策略,在后台模型更新阶段快速更新双背景模型。实验表明,与传统的ViBe算法相比,本文算法对鬼影的抑制效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An improved vibe algorithm of dual background model for quickly suppressing ghost images
Aiming at the problem that traditional ViBe algorithm is prone to appear ghost area in the process of moving target detection, an improved ViBe algorithm was proposed. In the background model initialization stage, a time background model is added for each pixel, which uses the temporal characteristics of the pixel; at the same time, the original background model is improved, and the image used for modeling is determined by comparing the Hamming distance between frames. The coexistence of dual-background models is realized. In the foreground detection stage, the decision mechanism of the foreground detection is improved, that is, the Euclidean distance between the current pixel and the median of the temporal background model sample is used to supplement the decision; Finally, a cross-updating strategy is designed to rapidly update the dual-background model in the background model updating stage. Experiments show that compared with the traditional ViBe algorithm, the algorithm in this paper has a better effect on ghost suppression.
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