NUS-PRO: A New Visual Tracking Challenge


NUS-PRO is the abbreviation for 'NUS People and Rigid Objects Dataset', which contains 365 image sequences with manually labeled bounding boxes and occlusion status. It is designed for evaluating algorithms of object tracking. To meet the demand for developing deep model, all annotations are released!


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Data: Baidu, Google Drive (part 1, part 2), Mega

View tool: Baidu, Google Drive, Mega

Code used in the reference paper: Baidu, Google Drive, Mega




Reference

@article{nus_pro,
  title={{NUS-PRO: A New Visual Tracking Challenge}},
  author={Li, A and Lin, M and Wu, Y and Yang, MH and Yan, S},
  journal={ IEEE Transactions on Pattern Analysis and Machine Intelligence},
  volume={38},
  number={2},
  pages={335--349},
  year={2016}
}

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