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基于卡尔曼滤波与Camshift的低轨空间变光目标跟踪方法

王恩旺 陈晓林 王恩达 许占伟 钟胜

天文学进展2023,Vol.41Issue(4):596-608,13.
天文学进展2023,Vol.41Issue(4):596-608,13.DOI:10.3969/j.issn.1000-8349.2023.04.10

基于卡尔曼滤波与Camshift的低轨空间变光目标跟踪方法

Low-orbit Space Dimming Target Tracking Method Based on Kalman Filter and Camshift

王恩旺 1陈晓林 2王恩达 3许占伟 4钟胜5

作者信息

  • 1. 昆明理工大学信息工程与自动化学院,昆明 650031||中国科学院紫金山天文台空间目标与碎片观测重点实验室,南京 210023
  • 2. 昆明理工大学信息工程与自动化学院,昆明 650031||琼台师范学院信息科学技术学院,海口 571127
  • 3. 楚雄师范学院数学与计算机科学学院,楚雄 675099
  • 4. 中国科学院紫金山天文台空间目标与碎片观测重点实验室,南京 210023
  • 5. 华中科技大学人工智能与自动化学院,武汉 430074
  • 折叠

摘要

Abstract

In view of the frequent shape changes and fast moving speed of low-orbit dimming targets,it is difficult to accurately capture the target position information when tracking the target,a target tracking method combining Kalman filter and Camshift is proposed.According to the difficulty of capturing the target,Kalman filter extrapolation is introduced to predict the position of the target,tracking target with improved Camshift.That is,the target tracking method of single-channel white extraction based on gray image,to achieve the robust tracking of low-orbit variable light target and improve the target capture rate;When the target and the star are occluded each other instantaneously,the improved occluded target prediction method is used to predict the position.At the same time,the predicted position of the Kalman filter is used to replace the target position calculated by Camshift as the observation position to update the Kalman filter,so as to realize the robust tracking of the occluded target and improve the target acquisition rate.The experimental results show that the variable gate of the tracking target is adjusted adaptively according to the size of the target.It not only realizes stable tracking of medium-high orbit targets,but also has robust tracking effect for low-orbit dimming targets.This method has the advantages of fast running speed,high sensitivity,strong applicability and good real-time performance,and has good application value and broad application prospects.

关键词

卡尔曼滤波/Camshift/变光目标/跟踪

Key words

Kalman filtering/Camshift/dimming target/tracking

分类

天文与地球科学

引用本文复制引用

王恩旺,陈晓林,王恩达,许占伟,钟胜..基于卡尔曼滤波与Camshift的低轨空间变光目标跟踪方法[J].天文学进展,2023,41(4):596-608,13.

基金项目

国家自然科学基金(62062005) (62062005)

天文学进展

OA北大核心CSCDCSTPCD

1000-8349

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