Email this article Application of Particle Filter Algorithm Based on Gaussian Clustering in Dynamic Target Tracking
- Authors: Yang K.1, Wang J.1, Shen Z.1, Pan Z.1, Yu W.1
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Affiliations:
- School of Information and Electrical Engineering, China University of Mining and Technology
- Issue: Vol 29, No 3 (2019)
- Pages: 559-564
- Section: 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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Abstract
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.
About the authors
Kai Yang
School of Information and Electrical Engineering, China University of Mining and Technology
Author for correspondence.
Email: ts16060158a3@cumt.edu.cn
China, Xuzhou, Jiangsu, 221006
Jun Wang
School of Information and Electrical Engineering, China University of Mining and Technology
Author for correspondence.
Email: wj999lx@163.com
China, Xuzhou, Jiangsu, 221006
Zhengwen Shen
School of Information and Electrical Engineering, China University of Mining and Technology
Author for correspondence.
Email: szwfast@163.com
China, Xuzhou, Jiangsu, 221006
Zaiyu Pan
School of Information and Electrical Engineering, China University of Mining and Technology
Author for correspondence.
Email: pzycumt@163.com
China, Xuzhou, Jiangsu, 221006
Wenhui Yu
School of Information and Electrical Engineering, China University of Mining and Technology
Author for correspondence.
Email: ts16060158a3@cumt.edu.cn
China, Xuzhou, Jiangsu, 221006
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