Article citationsMore>>

Vo, B. and Ma, W. (2006) The Gaussian Mixture Probability Hypothesis Density Filter. IEEE Transactions on Signal Processing, 54, 4091-4104. https://doi.org/10.1109/TSP.2006.881190

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.