Group Target Tracking with the Gaussian Mixture Probability Hypothesis Density Filter-Reference-Cited by-同舟云学术

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Group Target Tracking with the Gaussian Mixture Probability Hypothesis Density Filter

Published:2007 Issue: Volume: Page:
ISSN:
Container-title:2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information
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Author:

Clark Daniel,Godsill Simon

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/4489863/4496790/04496835.pdf?arnumber=4496835

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A group target track‐before‐detect approach using two‐stage strategy with maximum‐likelihood probabilistic data association;IET Radar, Sonar & Navigation;2024-05-10

2. The GMPHD Filter for Swarm Target Tracking Based on Gamma Gaussian Processes;2024 IEEE Radar Conference (RadarConf24);2024-05-06

3. E-GNN: An Enhanced Method for Multi-Object Tracking with Collective Motion Patterns;IEEE Robotics and Automation Letters;2024-04

4. A Poisson multi-Bernoulli mixture filter for tracking multiple resolvable group targets;Digital Signal Processing;2024-01

5. Three-Dimensional Group Target Separation Detection Method Based on Ellipsoid Shape Reconstruction;IEEE Transactions on Radar Systems;2024

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