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jye9/
Multi-Camera-Multi-Vehicle-Tracking-System

Name: Multi-Camera-Multi-Vehicle-Tracking-System
Rating: 2.5 (199 reviews)

jye9/Multi-Camera-Multi-Vehicle-Tracking-System

2605.15779

apache-2.0

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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.

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/
GitHub Repository: https://github.com/JYe9/multi-camera-multi-vehicle-tracking-system
Dataset: jye9/Multi-Camera-Multi-Vehicle-Tracking-System

Multi-Camera Multi-Vehicle Tracking Pipeline

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}
}