---
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}
}
```