航空学报 > 2012, Vol. 33 Issue (7): 1312-1318

一种新的玫瑰扫描目标跟踪边界重心法

孙玉泉1,2, 郑红3   

  1. 1. 北京航空航天大学 数学与系统科学学院, 北京 100191;
    2. 北京航空航天大学 数学、信息与行为教育部重点实验室, 北京 100191;
    3. 北京航空航天大学 自动化科学与电气工程学院, 北京 100191
  • 收稿日期:2011-10-04 修回日期:2011-12-04 出版日期:2012-07-25 发布日期:2012-07-24
  • 通讯作者: 郑红,Tel.: 010-82317884 E-mail: julyanna@vip.sina.com E-mail:julyanna@vip.sina.com
  • 基金资助:
    国家自然科学基金(60543006);高等学校博士学科点专项科研基金(201003259);光电信息安全控制科学与技术重点实验室基金(9140C150105100C1502)

A New Boundary Center of Gravity Method for Target Tracking in Rosette Scanning

SUN Yuquan1,2, ZHENG Hong3   

  1. 1. School of Mathematics and Systems Science, Beihang University, Beijing 100191, China;
    2. LMIB of the Ministry of Education, Beihang University, Beijing 100191, China;
    3. School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
  • Received:2011-10-04 Revised:2011-12-04 Online:2012-07-25 Published:2012-07-24
  • Supported by:
    National Natural Science Foundation of China (60543006); Research Fund for the Doctoral Program of Higher Education of China (201003259); Optical Information Control and Safety Technology Laboratory Foundation (9140C150105100C1502)

摘要: 针对自动寻的导弹玫瑰扫描目标跟踪方法中由于扫描过程非线性引起的目标采样非线性,导致求取目标重心算法的运算量和计算误差大等问题,提出了一种基于格林公式的、新的求取目标重心的边界重心法,该方法仅使用目标边界上的采样点。通过对运算量和计算误差的理论分析,与现有的权重重心法相比,本方法可以有效解决采样不均匀的问题,同时运算量减少了90%,误差仅为权重重心法的下界。另外,本方法也可用于基于图像信息的凝视目标跟踪等类似算法中来提高跟踪准确性及运算速度。

关键词: 玫瑰扫描, 目标分类, 跟踪算法, 重心计算, 红外探测器

Abstract: The non-linearity of a rosette scanning process causes the non-linearity of target sampling which may account for the considerable calculation cost and large errors of the traditional methods. To solve this problem, this paper proposes a new approach based on Green’s theorem for computing center of gravity in rosette scanning. Only the samples on the boundary are used for computing the center of gravity of a target; therefore, the method can eliminate the disadvantage of non-linearity in a rosette pattern. Theoretical analysis and simulation demonstrate that the calculation error by this method is smaller than that of the weight gravity method and the cost is reduced by 90%. In addition, this method can also be used in image-based gaze tracking and other similar methods to improve accuracy and speed.

Key words: rosette scanning, target classification, tracking method, center of gravity computing, infrared detectors

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