面向鬼影抑制的改进ViBe算法及其应用
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TP391.41

基金项目:

国家自然科学基金(42261078);江西省重点研发计划“揭榜挂帅”项目(20223BBE51030);江西省地质局科技研究项目(2022JXDZKJKY08);2024年度浙江省自然资源厅自然资源科技项目(2024ZJDZ020)


Improved ViBe algorithm for ghosting suppression and its application
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    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值依次有0. 222、0.03和0. 123的提升,有效的消除了鬼影的影响,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。

    Abstract:

    Aiming at the problem that the visual background extractor (ViBe) algorithm is prone to ghosting during moving target detection, an improved algorithm, ViBe-BR (ViBe with Background Restoration) is proposed by adding a background restoration stage to the original algorithm. First, the foreground region within the background image is pre-extracted by combining three-frame differencing; Then, the interior of the region is filled using the background pixels around the foreground region to obtain the restored image; Finally, the restored image is corrected and ViBe detection is 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.

    参考文献
    相似文献
    引证文献
引用本文

舒兆翰,李小龙,郭霞,等. 面向鬼影抑制的改进ViBe算法及其应用[J]. 科学技术与工程, 2025, 25(14): 5948-5956.
Shu Zhaohan, Li Xiaolong, Guo Xia, et al. Improved ViBe algorithm for ghosting suppression and its application[J]. Science Technology and Engineering,2025,25(14):5948-5956.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-05-28
  • 最后修改日期:2024-09-11
  • 录用日期:2024-09-18
  • 在线发布日期: 2025-05-22
  • 出版日期:
×
喜报!《科学技术与工程》入选国际著名数据库《工程索引》(EI Compendex)!
《科学技术与工程》“智能机器人关键技术”专栏征稿启事暨“2025智能机器人关键技术大会”会议通知