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

ISSN Print: 2160-8881
ISSN Online: 2160-889X
www.scirp.net/journal/opj
E-mail: [email protected]

Citations

"Research and Application of Multi-Target Tracking Based on GM-PHD Filter"
written by Yanyi Li, Limin Guo, Xiangsong Huang,
published by Optics and Photonics Journal, Vol.10 No.6, 2020

has been cited by the following article(s):

[1]	An Improved Gaussian Sum Extended Kalman Filter with Colored Noise for GNSS/SINS Tightly Coupled Positioning and Attitude Determination Systems
	IEEE Access, 2024

[2]	Research and application of fishery resource assessment based on particle filter algorithm physical habitat model
	Results in Physics, 2023

[3]	Radar-Based Timed Up And Go Test For Multiperson Providing A Risk Of Falling Assessment
	2022

[4]	辐射风险和多目标跟踪精度约束下的传感器调度方法
	现代防御技术, 2021

[5]	Sensor Scheduling Method under Radiation Risk and Multitarget Tracking Accuracy Constraints
	rui, JI Bing - Modern Defense Technology, 2021

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[2]	Converted State Gaussian Mixture Probability Hypothesis Density Filter for Nonlinear Multi-Target Tracking 2025 44th Chinese Control Conference (CCC), 2025 DOI:10.23919/CCC64809.2025.11178611

[3]	Multi-Object Tracking with Distributed Drones’ RGB Cameras Considering Object Localization Uncertainty Drones, 2025 DOI:10.3390/drones9120867

[4]	An Improved Gaussian Sum Extended Kalman Filter With Colored Noise for GNSS/SINS Tightly Coupled Positioning and Attitude Determination Systems IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3404252

[5]	Research and application of fishery resource assessment based on particle filter algorithm physical habitat model Results in Physics, 2023 DOI:10.1016/j.rinp.2023.106684