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| # 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: | |
| <pre><b>Opening up Open-World Tracking</b> | |
| Yang Liu*, Idil Esen Zulfikar*, Jonathon Luiten*, Achal Dave*, Deva Ramanan, Bastian Leibe, Aljoša Ošep, Laura Leal-Taixé | |
| <t><t>*Equal contribution | |
| CVPR 2022</pre> | |
| [Paper](https://arxiv.org/abs/2104.11221) | |
| [Website](https://openworldtracking.github.io) | |
| ## 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](https://github.com/JonathonLuiten/TrackEval/blob/master/scripts/run_tao_ow.py) | |
| To understand the the data is being read and used, see the TAO-OW dataset class: | |
| [TAO-OW dataset class](https://github.com/JonathonLuiten/TrackEval/blob/master/trackeval/datasets/tao_ow.py) | |
| The implementation of the 'Open World Tracking Accuracy' (OWTA) metric proposed in the paper can be found here: | |
| [OWTA metric](https://github.com/JonathonLuiten/TrackEval/blob/master/trackeval/metrics/hota.py) | |
| ## 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} | |
| } | |
| ``` | |