Technology of Graphic & Image
|
1220-1223

Fast tracking algorithm based on probability hypothesis density for close-spaced target

Wang Ying
Dept. of Mechanical & Electronic Engineering, Shangqiu Polytechnic, Shangqiu Henan 476000, China

Abstract

Taking account of the problems that the standard probability hypothesis density filter is difficult to estimate the target state correctly and has high computational complexity when there are multiple targets move close to each other in clutter environments, this paper put forward a fast close-spaced target tracking algorithm based on the probability hypothesis density. The proposed algorithm firstly used an adaptive gate technology to divide the measurement set originated from the real targets from the sensor measurement set. And then used the real target measurement set to update the predicted intensity. Finally, a detection-guided close-spaced target reweight approach selectively redistributed the inaccurate component weights within the posterior intensity at each discrete time. Experimental results illustrate that the proposed algorithm not only has target tracking with high efficiency, but also has good stability.

Foundation Support

河南省科技攻关项目(182102210116)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.03.0049
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 4
Section: Technology of Graphic & Image
Pages: 1220-1223
Serial Number: 1001-3695(2021)04-050-1220-04

Publish History

[2021-04-05] Printed Article

Cite This Article

王颖. 基于概率假设密度的近邻目标快速跟踪算法 [J]. 计算机应用研究, 2021, 38 (4): 1220-1223. (Wang Ying. Fast tracking algorithm based on probability hypothesis density for close-spaced target [J]. Application Research of Computers, 2021, 38 (4): 1220-1223. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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