PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking

🔮 This is the official evaluation toolkit for PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking (ICCV 2023).

[Paper] [Website] [Benchmark-OneDrive (~107G)]

Figure: Examples of annotated sequences in the proposed PlanarTrack. Each video is annotated with four corner points.

Usage

• 👉 Download the repository, and unzip it to your computer
• 👉 Download the annotations (GoogleDrive or OneDrive) of PlanarTrack, and unzip it to folder PlanarTrack/annotation/
• 👉 Download the tracking result file (GoogleDrive or OneDrive) of evaluated trackers, and unzip it to folder PlanarTrack/tracking_result/
• 🏃 Run RunEvaluation.m in Matlab, and the plots will be saved in PlanarTrack/plots/

Citing PlanarTrack

🙏 If you use PlanarTrack for your research, please consider giving it a star ⭐ and citing it:

@inproceedings{liu2023planartrack,
        title={PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking},
        author={Liu, Xinran and Liu, Xiaoqiong and Yi, Ziruo and Zhou, Xin and Le, Thanh and
        Zhang, Libo and Huang, Yan and Yang, Qing and Fan, Heng},
        booktitle={ICCV},
        year={2023}
}

Acknowledgment

🌹 We would like to thank LaSOT and POT-210 for sharing their codes.