针对视觉背景提取（visual background extractor, ViBe）算法在运动目标检测过程中容易产生鬼影的问题，在原算法基础上加入背景还原阶段，提出一种改进算法ViBe-BR（ViBe with background restoration）。首先，结合三帧差分预先提取背景图像内前景区域；然后，使用前景区域周围的背景像素对区域内部进行填充，得到还原图像；最后，修正还原图像，并基于还原背景进行ViBe检测，达到抑制鬼影的效果。实验结果表明，ViBe-BR算法在4种不同场景中都取得了良好的检测效果，相比ViBe算法，前景检测的平均精确率、召回率以及F₁依次有0.222、0.03和0.123的提升，有效地消除了鬼影的影响，可应用于实际地理定位任务中以获取运动目标的地理位置信息。

Aiming at the problem that ViBe (visual background extractor) algorithm is prone to ghosting during moving target detection, an improved algorithm, ViBe-BR (ViBe with background restoration) was proposed by adding a background restoration stage to the original algorithm. First, the foreground region within the background image was pre-extracted by combining three-frame differencing. Then, the interior of the region was filled using the background pixels around the foreground region to obtain the restored image; Finally, the restored image was corrected and ViBe detection was performed based on the reduced background to achieve the effect of suppressing ghosting. The experimental results show that the ViBe-BR algorithm achieves good detection results in four different scenes, and compared with the ViBe algorithm, the average precision, recall, and F₁ value of foreground detection have been improved by 0.222, 0.03, and 0.123 in that order, which effectively eliminates the influence of ghosting, and it can be applied to practical geo-localization tasks in order to obtain the geographic location information of the moving targets.