Application of Particle Filter Algorithm Based on Gaussian Clustering in Dynamic Target Tracking


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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

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Email: wj999lx@163.com
中国, Xuzhou, Jiangsu, 221006

Zhengwen Shen

School of Information and Electrical Engineering, China University of Mining and Technology

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Email: szwfast@163.com
中国, Xuzhou, Jiangsu, 221006

Zaiyu Pan

School of Information and Electrical Engineering, China University of Mining and Technology

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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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