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01-07-2019 | APPLIED PROBLEMS | Issue 3/2019

Pattern Recognition and Image Analysis 3/2019

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

Journal:
Pattern Recognition and Image Analysis > Issue 3/2019
Authors:
Kai Yang, Jun Wang, Zhengwen Shen, Zaiyu Pan, Wenhui Yu
Important notes
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Kai Yang. Born 1993. Received the B.S. degree in school of mechanical and electrical engineering from Xuzhou University of Technology, Jiangsu, China, in 2015. He is currently pursuing the M.S. degree in control science and engineering from China University of Mining and Technology. His current research interests include image processing, machine learning, computer vision and pattern recognition, especially on vein recognition and other biometrical identification methods.
https://static-content.springer.com/image/art%3A10.1134%2FS1054661819030106/MediaObjects/11493_2019_6022_Fig7_HTML.gif
Jun Wang. Born 1981. Received the B.S. and M.S. and PhD degrees in control theory and control engineering from China University of Mining and Technology, Jiangsu, China, in 2003, 2009, and 2015, respectively. He has now been an associate professor with the school of information and electrical engineering, China University of Mining and Technology. He also worked for the Jiangsu Province Laboratory of Electrical and Automation Engineering for Coal Mining. His current research interests include intelligent control system design, computer vision and pattern recognition, especially on vein recognition and other biometrical identification methods.
https://static-content.springer.com/image/art%3A10.1134%2FS1054661819030106/MediaObjects/11493_2019_6022_Fig8_HTML.gif
Zhengwen Shen. Born 1993. Received the B.S. degree in College of physical and electronic information from Luoyang Normal University, Henan, China, in 2017. He is currently pursuing the M.S. degree in information and communication engineering from China University of Mining and Technology. His current research interests include image processing, machine learning, computer vision and pattern recognition, especially on vein recognition and other biometrical identification methods.
https://static-content.springer.com/image/art%3A10.1134%2FS1054661819030106/MediaObjects/11493_2019_6022_Fig9_HTML.gif
Zaiyu Pan. Born 1993. Received the B.S. degree in electrical engineering and automation from Chaohu University, Anhui, China, in 2016. He is currently pursuing the M.S. degree in control science and engineering from China University of Mining and Technology. His current research interests include image processing, machine learning, computer vision and pattern recognition, especially on vein recognition and other biometrical identification methods.
https://static-content.springer.com/image/art%3A10.1134%2FS1054661819030106/MediaObjects/11493_2019_6022_Fig10_HTML.gif
Wenhui Yu. Born 1990. Received the B.S. and M.S degrees in control science and engineering from China University of Mining and Technology, Jiangsu, China, in 2014, and 2017. His current research interests include image processing, machine learning, computer vision and pattern recognition, especially on vein recognition and other biometrical identification methods.

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.

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Literature
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