视频图像动目标检测的双三帧差分算法
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TP391

基金项目:


Double three-frame difference algorithm of motion detection in video images
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:

    三帧差分法进行视频图像动目标检测时利用两个帧差分的结果进行逻辑与运算,进而进行轮廓提取。这种取交集的算法势必会丢掉相互独立的目标轮廓部分,因而容易造成目标轮廓断裂和空洞。为改善算法性能提出了双三帧差分算法,该算法利用连续两次或多次具有交集的三帧差分的结果进行逻辑或运算,采用取并集的方法在最大程度上恢复三帧差分算法提取的动目标轮廓的完整性。基于连续4帧和5帧视频图像给出了算法的具体逻辑结构,仿真实验结果给出了新算法与传统算法的性能指标对比。

    Abstract:

    Three frame difference motion detection algorithm can easily cause the foreground objects image contour fracture and blank holes because the logical “AND” operations are used between the results of two frame to frame difference with intersections to extract moving objects. In order to improve the algorithm performance, a double three frame difference method is presented, which uses logical “OR” operations between the results of two or more three frame difference with intersections to extract moving objects contour. This kind of union of set operation can reserve the integrality of the extracted contour to a great extent. The concrete logical construction of the new algorithm is constructed on the base of the successive four and five frames images in a video. The simulation results show that the double three frame difference method is effective in improving three frame difference performances.

    参考文献
    相似文献
    引证文献
引用本文

王志国,王永明,聂晶,彭世蕤,仇永斌.视频图像动目标检测的双三帧差分算法[J].电子测量技术,2019,42(2):78-83

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:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2021-07-08
  • 出版日期:
文章二维码