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弹箭与制导学报 >

2020 , Vol. 40 >Issue 1: 73 - 76

DOI: https://doi.org/10.15892/j.cnki.djzdxb.2020.01.015

尺度自适应弹载目标跟踪方法对比研究

  • 王曙光 ,
  • 石胜斌 ,
  • 杨传栋
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  • 陆军炮兵防空兵学院, 合肥 230031

王曙光(1970-),男,山东邹平人,教授,博士,研究方向:目标探测与毁伤效果评估。

收稿日期: 2018-12-25

  网络出版日期: 2025-05-30

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Comparative Study on Scale Adaptive Missile-borne Target Tracking Method

  • WANG Shuguang ,
  • SHI Shengbin ,
  • YANG Chuandong
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  • Army Academy of Artillery and Air Defence Force, Hefei 230031, China

Received date: 2018-12-25

  Online published: 2025-05-30

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摘要

为了解决由于弹载视频中目标尺度的变化导致跟踪效果下降的问题,基于KCF算法框架,采取尺度滤波器以及尺度池两种方式对算法进行改进,以增强算法应对目标尺度变化的能力。通过在弹载图像序列以及OTB中带有尺度变化属性的序列上进行测试,结果表明,两种改进方法对具有尺度变化目标的跟踪精度较KCF算法分别提升了0.9%、7.5%,成功率分别提升了27.6%、4.8%。最后对改进算法在弹载目标跟踪中的应用前景进行了分析。

关键词： 弹载图像; 目标跟踪; 尺度自适应

本文引用格式

王曙光 , 石胜斌 , 杨传栋 . 尺度自适应弹载目标跟踪方法对比研究[J]. 弹箭与制导学报, 2020 , 40(1) : 73 -76 . DOI: 10.15892/j.cnki.djzdxb.2020.01.015

Abstract

In order to solve the problem that the tracking effect is degraded due to the change of target scale in missile-borne video, based on the framework of KCF, this paper improves the algorithm in two ways: scale filter and scale pool, in order to enhance the ability of the algorithm to cope with the change of target scale. The results show that the tracking accuracy of the two methods is improved by 0.9%, 7.5% and 27.6%, 4.8% respectively, compared with the KCF algorithm. Finally, we analyze the application prospect of the improved algorithm in missile-borne target tracking.

Key words： missile-borne image; target tracking; scale adaptation

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参考文献

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