Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms.

Hong M, Wang J, Zhu M, Cao S, Nie H, Xu X

DOI: 10.3390/s25113491
Published: 2025 May 31
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25113491,
  title = {Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms.},
  author = {Hong M and Wang J and Zhu M and Cao S and Nie H and Xu X},
  year = {2025},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s25113491},
  url = {https://doi.org/10.3390/s25113491}
}

RIS

TY  - JOUR
TI  - Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms.
AU  - Hong M
AU  - Wang J
AU  - Zhu M
AU  - Cao S
AU  - Nie H
AU  - Xu X
PY  - 2025
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s25113491
UR  - https://doi.org/10.3390/s25113491
ER  -

APA

M, H., J, W., M, Z., S, C., H, N., & X, X. (2025). Detection-Driven Gaussian Mixture Probability Hypothesis Density Multi-Target Tracker for Airborne Infrared Platforms.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s25113491

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pubmed · retrieved 2026-11-10T10:00:50.934Z