ghimireadarsh / pt-ua.github.io

PTUA Dataset

This repository hosts the PTUA dataset and references to download the dataset and related paper.

PTUA is a large, high-diversity and the most challenging person tracking dataset on highly camouflaged environment. It provides a high-quality benchmark for evaluation of visual trackers in disguised scene that are prevalent in real-world. If you use the PTUA database or toolkits for a research publication, please consider citing:

@ARTICLE{10098488,
  author={Zhang, Xiaoxiong and Ghimire, Adarsh and Javed, Sajid and Dias, Jorge and Werghi, Naoufel},
  journal={IEEE Transactions on Human-Machine Systems}, 
  title={Robot-Person Tracking in Uniform Appearance Scenarios: A New Dataset and Challenges}, 
  year={2023},
  volume={53},
  number={3},
  pages={549-559},
  doi={10.1109/THMS.2023.3247000}}

[Project] | [PDF] | [Toolkit]

Issues

Please report any problems or suggessions in the Issues page.

Contributors & Maintainers

• Adarsh Ghimire
• Xiaoxiong Zhang