TODO

Global data association for multi-object tracking using network flows:
1. https://github.com/nwojke/mcf
2. https://github.com/jutanke/cabbage
3. Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies
4. http://openaccess.thecvf.com/content_cvpr_2017/papers/Tang_Multiple_People_Tracking_CVPR_2017_paper.pdf
5. https://github.com/abhineet123/Deep-Learning-for-Tracking-and-Detection
6. https://arxiv.org/abs/1903.05625
7. https://arxiv.org/abs/1907.03961
8. http://www.cvlibs.net/projects/online_tracking/
9. https://github.com/jwchoi384/Gaussian_YOLOv3
10. muSSP: https://github.com/yu-lab-vt/muSSP
11. https://github.com/ifzhang/FairMOT
12. https://github.com/AndreaHor/LifT_Solver

Deep SORT:
1. https://github.com/humoncy/YOLOv3-SORT-ReID
2. https://github.com/nwojke/deep_sort
3. https://github.com/bitzy/DeepSort
3. https://github.com/oylz/DS

New:
1. https://github.com/ceccocats/tkDNN
2. dasiamrpn_tracker.py -> C++

Tests:
1. Quality tests
2. Performance tests