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Pasha, S.A., Vo, B., Tuan, H.D. and Ma, W. (2009) A Gaussian Mixture PHD Filter for Jump Markov System Models. IEEE Transactions on Aerospace and Electronic Systems, 45, 919-936. https://doi.org/10.1109/TAES.2009.5259174

has been cited by the following article:

• TITLE: Research and Application of Multi-Target Tracking Based on GM-PHD Filter

  AUTHORS: Yanyi Li, Limin Guo, Xiangsong Huang

  KEYWORDS: GM-PHD, Multi-Target Tracking, Random Finite Set

  JOURNAL NAME: Optics and Photonics Journal, Vol.10 No.6, June 29, 2020

  ABSTRACT: In recent years, multi-target tracking technology based on Gaussian Mixture- Probability Hypothesis Density (GM-PHD) filtering has become a hot field of information fusion research. This article outlines the generation and development of multi-target tracking methods based on GM-PHD filtering, and the principle and implementation method of GM-PHD filtering are explained, and the application status based on GM-PHD filtering is summarized, and the key issues of the development of GM-PHD filtering technology are analyzed.