Computer Vision-Based Airport Turnaround Monitoring Using YOLOv11, Multi-Object Tracking, and Motion-Based Passenger and Baggage Activity Detection.

Suvittawat N, Soh W

DOI: 10.3390/s26134231
Published: 2026 Jul 3
Container: Sensors (Basel, Switzerland)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s26134231,
  title = {Computer Vision-Based Airport Turnaround Monitoring Using YOLOv11, Multi-Object Tracking, and Motion-Based Passenger and Baggage Activity Detection.},
  author = {Suvittawat N and Soh W},
  year = {2026},
  journal = {Sensors (Basel, Switzerland)},
  doi = {10.3390/s26134231},
  url = {https://doi.org/10.3390/s26134231}
}

RIS

TY  - JOUR
TI  - Computer Vision-Based Airport Turnaround Monitoring Using YOLOv11, Multi-Object Tracking, and Motion-Based Passenger and Baggage Activity Detection.
AU  - Suvittawat N
AU  - Soh W
PY  - 2026
JO  - Sensors (Basel, Switzerland)
DO  - 10.3390/s26134231
UR  - https://doi.org/10.3390/s26134231
ER  -

APA

N, S., & W, S. (2026). Computer Vision-Based Airport Turnaround Monitoring Using YOLOv11, Multi-Object Tracking, and Motion-Based Passenger and Baggage Activity Detection.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s26134231

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pubmed · retrieved 2026-09-27T11:43:01.340Z