Corpus ID: 235899137

MeNToS: Tracklets Association with a Space-Time Memory Network

@article{Miah2021MeNToSTA,
  title={MeNToS: Tracklets Association with a Space-Time Memory Network},
  author={Mehdi Miah and Guillaume-Alexandre Bilodeau and Nicolas Saunier},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.07067}
}
We propose a method for multi-object tracking and segmentation (MOTS) that does not require fine-tuning or per benchmark hyperparameter selection. The proposed method addresses particularly the data association problem. Indeed, the recently introduced HOTA metric, that has a better alignment with the human visual assessment by evenly balancing detections and associations quality, has shown that improvements are still needed for data association. After creating tracklets using instance… Expand

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References

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