SamihaSara / deepMOT

Official implementation of How To Train Your Deep Multi-Object Tracker

DeepMOT

Important Note

We will make publicly available the new code and trained models used in the newly submitted paper in the following week.

How To Train Your Deep Multi-Object Tracker
Yihong Xu, Aljosa Osep, Yutong Ban, Radu Horaud,Laura Leal-Taixé, Xavier Alameda-Pineda
[Paper]

Bibtex

If you find this code useful, please star the project and consider citing:

@misc{xu2019train,
    title={How To Train Your Deep Multi-Object Tracker},
    author={Yihong Xu and Aljosa Osep and Yutong Ban and Radu Horaud and Laura Leal-Taixe and Xavier Alameda-Pineda},
    year={2019},
    eprint={1906.06618},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

Demo

Acknowledgement

Some codes are modified and network pretrained weights are obtained from the following repositories:
Single Object Tracker: SiamRPN, Tracktor.

@inproceedings{Zhu_2018_ECCV,
  title={Distractor-aware Siamese Networks for Visual Object Tracking},
  author={Zhu, Zheng and Wang, Qiang and Bo, Li and Wu, Wei and Yan, Junjie and Hu, Weiming},
  booktitle={European Conference on Computer Vision},
  year={2018}
}

@InProceedings{Li_2018_CVPR,
  title = {High Performance Visual Tracking With Siamese Region Proposal Network},
  author = {Li, Bo and Yan, Junjie and Wu, Wei and Zhu, Zheng and Hu, Xiaolin},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year = {2018}
}

@InProceedings{tracktor_2019_ICCV,
  author = {Bergmann, Philipp and Meinhardt, Tim and Leal{-}Taix{\'{e}}}, Laura},
  title = {Tracking Without Bells and Whistles},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {October},
  year = {2019}}

MOT Metrics in Python: py-motmetrics
Appearance Features Extractor: DAN

@article{sun2018deep,
  title={Deep Affinity Network for Multiple Object Tracking},
  author={Sun, ShiJie and Akhtar, Naveed and Song, HuanSheng and Mian, Ajmal and Shah, Mubarak},
  journal={arXiv preprint arXiv:1810.11780},
  year={2018}
}

Training and testing Data from:
MOT Challenge: motchallenge

@article{MOT16,
	title = {{MOT}16: {A} Benchmark for Multi-Object Tracking},
	shorttitle = {MOT16},
	url = {http://arxiv.org/abs/1603.00831},
	journal = {arXiv:1603.00831 [cs]},
	author = {Milan, A. and Leal-Taix\'{e}, L. and Reid, I. and Roth, S. and Schindler, K.},
	month = mar,
	year = {2016},
	note = {arXiv: 1603.00831},
	keywords = {Computer Science - Computer Vision and Pattern Recognition}
}