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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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+ # Multi-Camera Multi-Vehicle Tracking System (YOLO Weights)
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+
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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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+
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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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+
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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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+
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+ ## Citation
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+
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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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+
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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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+ ```