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owt

Opening Up Open-World Tracking - Official Evaluation Code

TrackEval now contains the official evalution code for evaluating the task of Open World Tracking.

This is the official code from the following paper:

Opening up Open-World Tracking
Yang Liu*, Idil Esen Zulfikar*, Jonathon Luiten*, Achal Dave*, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé
*Equal contribution
CVPR 2022

Paper

Website

Running and understanding the code

The code can be run by running the following script (see script for arguments and how to run): TAO-OW run script

To understand the the data is being read and used, see the TAO-OW dataset class: TAO-OW dataset class

The implementation of the 'Open World Tracking Accuracy' (OWTA) metric proposed in the paper can be found here: OWTA metric

Citation

If you work with the code and the benchmark, please cite:

Opening Up Open-World Tracking

@inproceedings{liu2022opening,
  title={Opening up Open-World Tracking},
  author={Liu, Yang and Zulfikar, Idil Esen and Luiten, Jonathon and Dave, Achal and Ramanan, Deva and Leibe, Bastian and O{\v{s}}ep, Aljo{\v{s}}a and Leal-Taix{\'e}, Laura},
  journal={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year={2022}
}

TrackEval

@misc{luiten2020trackeval,
  author =       {Jonathon Luiten, Arne Hoffhues},
  title =        {TrackEval},
  howpublished = {\url{https://github.com/JonathonLuiten/TrackEval}},
  year =         {2020}
}