电邮这篇文章 Application of Particle Filter Algorithm Based on Gaussian Clustering in Dynamic Target Tracking
- 作者: Yang K.1, Wang J.1, Shen Z.1, Pan Z.1, Yu W.1
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隶属关系:
- School of Information and Electrical Engineering, China University of Mining and Technology
- 期: 卷 29, 编号 3 (2019)
- 页面: 559-564
- 栏目: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/195687
- DOI: https://doi.org/10.1134/S1054661819030106
- ID: 195687
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详细
In order to solve the problem of particle depletion and complexity in traditional particle filtering, a particle filter target tracking method based on Gaussian clustering is proposed in this paper. Combined with adaptive double-sampling and gradmethod, the real time and robustness of dynamic tracking are improved significantly.
作者简介
Kai Yang
School of Information and Electrical Engineering, China University of Mining and Technology
编辑信件的主要联系方式.
Email: ts16060158a3@cumt.edu.cn
中国, Xuzhou, Jiangsu, 221006
Jun Wang
School of Information and Electrical Engineering, China University of Mining and Technology
编辑信件的主要联系方式.
Email: wj999lx@163.com
中国, Xuzhou, Jiangsu, 221006
Zhengwen Shen
School of Information and Electrical Engineering, China University of Mining and Technology
编辑信件的主要联系方式.
Email: szwfast@163.com
中国, Xuzhou, Jiangsu, 221006
Zaiyu Pan
School of Information and Electrical Engineering, China University of Mining and Technology
编辑信件的主要联系方式.
Email: pzycumt@163.com
中国, Xuzhou, Jiangsu, 221006
Wenhui Yu
School of Information and Electrical Engineering, China University of Mining and Technology
编辑信件的主要联系方式.
Email: ts16060158a3@cumt.edu.cn
中国, Xuzhou, Jiangsu, 221006
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