基于特征点集群目标跟踪与检测
DOI:
CSTR:
作者:
作者单位:

北京工业大学电子信息与控制工程学院 北京 100124

作者简介:

通讯作者:

中图分类号:

TN2

基金项目:


Base on cluster feature tracking and detection
Author:
Affiliation:

College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124,China

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:

    目标跟踪与检测技术是计算机视觉研究领域一个热点和难点问题,该技术广泛应用在制导、导航、监控等方面。尤其在复杂背景下,准确的跟踪既定目标,在遮挡情况下稳定跟踪,是近年来研究的热点。利用一种特征点集群方法,通过提取特征点方式,以及对目标的运动估计等方式,解决针对地面目标在光线变化、缩放、旋转3个变化量下的跟踪与检测问题。该方法对于地面运动目标的限制较小,同时图像序列中每一帧图像间运动目标的位移量较小。运用本文所提出算法,能够解决针对地面目标在光线变化、缩放以及旋转情况下跟踪与检测的问题。

    Abstract:

    Target tracking and detection technology is a hot and difficult problem in the field of computer vision research, which is widely used in guidance, navigation, monitoring and so on. Especially in the complex background, the accurate tracking of the target, in the occlusion of the stable tracking, is a hot research topic in recent years. By using a feature point cluster method, extracting feature points and estimating the target motion etc., solve the ground target under the light changes, scaling, rotation, and three variations of tracking and detection. This method has less limitation to the ground moving target, and the displacement of the moving object is smaller in the image sequence at the same time. By using the proposed algorithm, we can solve the problem of tracking and detecting the ground targets in the case of light variation, scaling and rotation.

    参考文献
    相似文献
    引证文献
引用本文

罗子安,毛征,张辉.基于特征点集群目标跟踪与检测[J].国外电子测量技术,2016,35(7):34-37

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: 2016-09-30
  • 出版日期:
文章二维码
×
《国外电子测量技术》
财务封账不开票通知