Vo, B., Clark, D.E., Vo, B. and Ristic, B. (2011) Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking. IEEE Transactions on Signal Processing, 59, 4473-4477. https://doi.org/10.1109/TSP.2011.2158427

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.