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license: apache-2.0
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---
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---
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license: apache-2.0
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tags:
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- object-detection
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- computer-vision
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- yolo
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- yolov8
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- yolov11
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- uav
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- multi-camera
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datasets:
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- jye9/Multi-Camera-Multi-Vehicle-Tracking-System
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papers:
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- 2605.15779
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---
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# Multi-Camera Multi-Vehicle Tracking System (YOLO Weights)
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This repository hosts the fine-tuned YOLO nano weights (e.g., `3UAVs.pt`) accompanying the paper **[A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking](https://arxiv.org/abs/2605.15779)**.
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These lightweight models are optimized for real-time vehicle detection from Unmanned Aerial Vehicles (UAVs) and serve as the core detection module for evaluating real-time multi-camera multi-vehicle tracking (MCMT) systems.
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- **Project Page:** [https://www.jye.me/ICUAS2026/](https://www.jye.me/ICUAS2026/)
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- **GitHub Repository:** [https://github.com/JYe9/multi-camera-multi-vehicle-tracking-system](https://github.com/JYe9/multi-camera-multi-vehicle-tracking-system)
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- **Dataset:** [jye9/Multi-Camera-Multi-Vehicle-Tracking-System](https://huggingface.co/datasets/jye9/Multi-Camera-Multi-Vehicle-Tracking-System)
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<p align="center">
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<img src="https://huggingface.co/datasets/jye9/Multi-Camera-Multi-Vehicle-Tracking-System/resolve/main/assets/Pipeline.png" alt="Multi-Camera Multi-Vehicle Tracking Pipeline" width="80%"/>
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</p>
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## Citation
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If you find these models, our dataset, or our framework useful in your research, please cite our paper:
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```bibtex
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@misc{ye2026topologyaware,
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title={A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking},
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author={Jianlin Ye and Christos Kyrkou and Panayiotis Kolios},
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year={2026},
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eprint={2605.15779},
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archivePrefix={arXiv},
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primaryClass={cs.CV}
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}
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```
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