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Research and Application of Multi-Target Tracking Based on GM-PHD Filter 被引量:2

Research and Application of Multi-Target Tracking Based on GM-PHD Filter
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摘要 <div style="text-align:justify;"> 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. </div> <div style="text-align:justify;"> 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. </div>
作者 Yanyi Li Limin Guo Xiangsong Huang Yanyi Li;Limin Guo;Xiangsong Huang(Harbin Engineering University, Harbin, China)
出处 《Optics and Photonics Journal》 2020年第6期125-133,共9页 光学与光子学期刊(英文)
关键词 GM-PHD Multi-Target Tracking Random Finite Set GM-PHD Multi-Target Tracking Random Finite Set
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