Multi Camera Multi Vehicle Tracking System

--- 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} } ```