Multi-target Joint Tracking and Classification Using the Trajectory PHD Filter-Reference-Cited by-同舟云学术

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Multi-target Joint Tracking and Classification Using the Trajectory PHD Filter

Published:2021-11-01 Issue: Volume: Page:
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Container-title:2021 IEEE 24th International Conference on Information Fusion (FUSION)
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Author:

Wei Shaoxiu,Zhang Boxiang,Yi Wei

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9626828/9626830/09626914.pdf?arnumber=9626914

Reference32 articles.

1. A Metric on the Space of Finite Sets of Trajectories for Evaluation of Multi-Target Tracking Algorithms

2. The Trajectory PHD Filter for Jump Markov System Models and Its Gaussian Mixture Implementation

3. Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter

4. The Labeled Multi-Bernoulli Filter

Cited by 4 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. Multi-target joint tracking and classification based on joint decision and estimation;Signal, Image and Video Processing;2024-07-19

2. The motion model-based joint tracking and classification using TPHD and TCPHD filters;Signal Processing;2024-06

3. Joint Detection, Tracking, and Classification of Multiple Maneuvering Star-Convex Extended Targets;IEEE Sensors Journal;2024-02-15

4. Label Metric for Multi-Class Multi-Target Tracking under Hierarchical Multilevel Classification;Sensors;2022-11-08

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