![Dr. Jun Chen: The semantic PHD filter for multi-class target tracking | RobotoKAUST | KAUST Research Conference on Robotics and Autonomy Dr. Jun Chen: The semantic PHD filter for multi-class target tracking | RobotoKAUST | KAUST Research Conference on Robotics and Autonomy](https://cemse.kaust.edu.sa/sites/default/files/2022-06/roboconf-risc-lab-jun-poster.jpg)
Dr. Jun Chen: The semantic PHD filter for multi-class target tracking | RobotoKAUST | KAUST Research Conference on Robotics and Autonomy
![GM-PHD Filter for Searching and Tracking an Unknown Number of Targets with a Mobile Sensor with Limited FOV: Paper and Code - CatalyzeX GM-PHD Filter for Searching and Tracking an Unknown Number of Targets with a Mobile Sensor with Limited FOV: Paper and Code - CatalyzeX](https://ai2-s2-public.s3.amazonaws.com/figures/2017-08-08/3085bd2bfae1edbaf0749220b03629441e21f2f8/3-Figure1-1.png)
GM-PHD Filter for Searching and Tracking an Unknown Number of Targets with a Mobile Sensor with Limited FOV: Paper and Code - CatalyzeX
![Sensors | Free Full-Text | A Robust SMC-PHD Filter for Multi-Target Tracking with Unknown Heavy-Tailed Measurement Noise Sensors | Free Full-Text | A Robust SMC-PHD Filter for Multi-Target Tracking with Unknown Heavy-Tailed Measurement Noise](https://www.mdpi.com/sensors/sensors-21-03611/article_deploy/html/images/sensors-21-03611-g001.png)
Sensors | Free Full-Text | A Robust SMC-PHD Filter for Multi-Target Tracking with Unknown Heavy-Tailed Measurement Noise
![Adaptive probability hypothesis density filter for multi-target tracking with unknown measurement noise statistics - Weijun Xu, 2021 Adaptive probability hypothesis density filter for multi-target tracking with unknown measurement noise statistics - Weijun Xu, 2021](https://journals.sagepub.com/cms/10.1177/0020294021992800/asset/images/large/10.1177_0020294021992800-fig2.jpeg)
Adaptive probability hypothesis density filter for multi-target tracking with unknown measurement noise statistics - Weijun Xu, 2021
GitHub - danstowell/gmphd: GM-PHD filter implementation in python (Gaussian mixture probability hypothesis density filter)
![Block diagram of GM-probability hypothesis density (PHD) filter recursion. | Download Scientific Diagram Block diagram of GM-probability hypothesis density (PHD) filter recursion. | Download Scientific Diagram](https://www.researchgate.net/publication/316064905/figure/fig1/AS:482442919321600@1492034763657/Block-diagram-of-GM-probability-hypothesis-density-PHD-filter-recursion.png)
Block diagram of GM-probability hypothesis density (PHD) filter recursion. | Download Scientific Diagram
Improved GGIW-PHD filter for maneuvering non-ellipsoidal extended targets or group targets tracking based on sub-random matrices | PLOS ONE
![A general cardinalized probability hypothesis density filter | EURASIP Journal on Advances in Signal Processing | Full Text A general cardinalized probability hypothesis density filter | EURASIP Journal on Advances in Signal Processing | Full Text](https://media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs13634-022-00924-w/MediaObjects/13634_2022_924_Fig1_HTML.png)