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导弹与制导技术

红外目标图像的复合特征跟踪算法

  • 李玉珏 ,
  • 王军力 ,
  • 颜景龙
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  • 1 北京理工大学机电学院,北京 100081
    2 中国兵器工业系统总体部,北京 100089

李玉珏(1978-),男,河南三门峡人,工程师,研究方向:红外成像技术、图像制导与目标识别。

收稿日期: 2010-01-21

  网络出版日期: 2025-05-28

基金资助

国防预研基金

Infrared Target Image Tracking Algorithm Based on Composite Features

  • LI Yujue ,
  • WANG Junli ,
  • YAN Jinglong
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  • 1 School of Mechatronic Engineering, Beijing Institute of Technology, Beijing 100081, China
    2 Overall System Department of Chinese Ordnance Industries, Beijing 100089, China

Received date: 2010-01-21

  Online published: 2025-05-28

摘要

红外目标图像跟踪系统中应用单一特征跟踪算法,易造成跟踪点漂移和目标丢失。提出目标图像的复合特征跟踪算法,综合利用目标图像的灰度特征和点特征,联合灰度特征的易用性和点特征的空间不变性,分别克服单一特征易受光照、噪声干扰,以及实时性较差等方面的不足。提出了复合特征联合匹配的算法流程和权值分配策略,通过仿真试验对比三种方法的目标跟踪性能,证明了该算法的有效性。

本文引用格式

李玉珏 , 王军力 , 颜景龙 . 红外目标图像的复合特征跟踪算法[J]. 弹箭与制导学报, 2010 , 30(6) : 17 -18,22 . DOI: 10.15892/j.cnki.djzdxb.2010.06.065

Abstract

The problems of tracking point drift and target losing are prone to occur to the single feature tracking algorithm of infra-red imaging guidance system. A new tracking algorithm based on composite features was proposed. The algorithm utilizes gray feature and point feature of the infrared target image, and overcomes the default of single matching method. The flow and power assign strategy of the algorithm were proposed, by comparing the characters of three tracking algorithms, the validity of the algorithm was proved.

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参考文献

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