Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy

@article{Zhang2021DistractorAwareFT,
  title={Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy},
  author={Zikai Zhang and Bineng Zhong and Shengping Zhang and Zhenjun Tang and Xin Liu and Zhaoxiang Zhang},
  journal={2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2021},
  pages={1024-1033}
}
  • Zikai Zhang, Bineng Zhong, +3 authors Zhaoxiang Zhang
  • Published 25 April 2021
  • Computer Science
  • 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
A practical long-term tracker typically contains three key properties, i.e. an efficient model design, an effective global re-detection strategy and a robust distractor awareness mechanism. However, most state-of-the-art long-term trackers (e.g., Pseudo and re-detecting based ones) do not take all three key properties into account and therefore may either be time-consuming or drift to distractors. To address the issues, we propose a two-task tracking framework (named DMTrack), which utilizes… Expand

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