Application of Particle Filter Algorithm Based on Gaussian Clustering in Dynamic Target Tracking
- Авторлар: Yang K.1, Wang J.1, Shen Z.1, Pan Z.1, Yu W.1
-
Мекемелер:
- School of Information and Electrical Engineering, China University of Mining and Technology
- Шығарылым: Том 29, № 3 (2019)
- Беттер: 559-564
- Бөлім: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/195687
- DOI: https://doi.org/10.1134/S1054661819030106
- ID: 195687
Дәйексөз келтіру
Аннотация
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.
Негізгі сөздер
Авторлар туралы
Kai Yang
School of Information and Electrical Engineering, China University of Mining and Technology
Хат алмасуға жауапты Автор.
Email: ts16060158a3@cumt.edu.cn
ҚХР, Xuzhou, Jiangsu, 221006
Jun Wang
School of Information and Electrical Engineering, China University of Mining and Technology
Хат алмасуға жауапты Автор.
Email: wj999lx@163.com
ҚХР, Xuzhou, Jiangsu, 221006
Zhengwen Shen
School of Information and Electrical Engineering, China University of Mining and Technology
Хат алмасуға жауапты Автор.
Email: szwfast@163.com
ҚХР, Xuzhou, Jiangsu, 221006
Zaiyu Pan
School of Information and Electrical Engineering, China University of Mining and Technology
Хат алмасуға жауапты Автор.
Email: pzycumt@163.com
ҚХР, Xuzhou, Jiangsu, 221006
Wenhui Yu
School of Information and Electrical Engineering, China University of Mining and Technology
Хат алмасуға жауапты Автор.
Email: ts16060158a3@cumt.edu.cn
ҚХР, Xuzhou, Jiangsu, 221006
Қосымша файлдар
