/LaSOT_Evaluation_Toolkit

Evaluation of trackers on a large-scale benchmark LaSOT.

Primary LanguageMATLABApache License 2.0Apache-2.0

LaSOT_Evaluation_Toolkit

This toolkit is utilized for evaluating trackers' performance on a large-scale benchmark LaSOT (https://cis.temple.edu/lasot/).

Usage

  • Download the repository, unzip it to your computer
  • Download tracking result, unzip it to folder tracking_results/
  • Run run_tracker_performance_evaluation.m in Matlab

Notes

In the file run_tracker_performance_evaluation.m, you can

  • change evaluation_dataset_type (line 25) for evaluation on all 1,400 sequences or 280 testing sequences
  • change norm_dst (line 28) for precision or normalized precision plots

In the file utils/plot_draw_save.m

  • change the plotting settings to get the appropriate plots

Citation

If you use LaSOT and this evaluation toolkit for you researches, please consider citing our paper:

  • H. Fan*, L. Lin*, F. Yang*, P. Chu*, G. Deng, S. Yu, H. Bai, Y. Xu, C. Liao, and H. Ling, "LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking", arXiv:1809.07845, 2018.

Contact

If you have any questions on LaSOT, please feel free to contain Heng Fan at hengfan@temple.