| --- |
| license: apache-2.0 |
| tags: |
| - object-detection |
| - computer-vision |
| - yolo |
| - yolov8 |
| - yolov11 |
| - uav |
| - multi-camera |
| datasets: |
| - jye9/Multi-Camera-Multi-Vehicle-Tracking-System |
| papers: |
| - 2605.15779 |
| --- |
| |
| # Multi-Camera Multi-Vehicle Tracking System (YOLO Weights) |
|
|
| 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)**. |
|
|
| 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. |
|
|
| - **Project Page:** [https://www.jye.me/ICUAS2026/](https://www.jye.me/ICUAS2026/) |
| - **GitHub Repository:** [https://github.com/JYe9/multi-camera-multi-vehicle-tracking-system](https://github.com/JYe9/multi-camera-multi-vehicle-tracking-system) |
| - **Dataset:** [jye9/Multi-Camera-Multi-Vehicle-Tracking-System](https://huggingface.co/datasets/jye9/Multi-Camera-Multi-Vehicle-Tracking-System) |
|
|
| <p align="center"> |
| <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%"/> |
| </p> |
|
|
| ## Citation |
|
|
| If you find these models, our dataset, or our framework useful in your research, please cite our paper: |
|
|
| ```bibtex |
| @misc{ye2026topologyaware, |
| title={A Topology-Aware Spatiotemporal Handover Framework for Continuous Multi-UAV Tracking}, |
| author={Jianlin Ye and Christos Kyrkou and Panayiotis Kolios}, |
| year={2026}, |
| eprint={2605.15779}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CV} |
| } |
| ``` |
