\begin{tabular}{c | c | c | c | c | c | c | c | c | c}
{\bf Method} & {\bf Setting} & {\bf MOTA} & {\bf MOTP} & {\bf MT} & {\bf ML} & {\bf IDS} & {\bf FRAG} & {\bf Runtime} & {\bf Environment}\\ \hline
SRK\_ODESA & on & 65.52 \% & 74.34 \% & 38.14 \% & 13.06 \% & 112 & 1057 & 0.2 s / GPU & D. Borysenko, D. Mykheievskyi and V. Porokhonskyy: ODESA: Object Descriptor that is Smooth Appearance-wise for object tracking task. to be submitted to ECCV'20 .\\
DBTO3D & la gp on & 60.67 \% & 72.13 \% & 42.61 \% & 11.68 \% & 661 & 1659 & 0.06 s / GPU & \\
TuSimple & on & 58.15 \% & 71.93 \% & 30.58 \% & 24.05 \% & 138 & 818 & 0.6 s / 1 core & W. Choi: Near-online multi-target tracking with aggregated local flow descriptor. Proceedings of the IEEE International Conference on Computer Vision 2015.K. He, X. Zhang, S. Ren and J. Sun: Deep residual learning for image recognition. Proceedings of the IEEE conference on computer vision and pattern recognition 2016.\\
NOTA & & 57.67 \% & 72.17 \% & 34.36 \% & 19.24 \% & 108 & 799 & 0.01 s / 1 core & BMVC 2019 Submission. .\\
3D-TLSR & st on & 54.00 \% & 73.03 \% & 29.55 \% & 23.71 \% & 100 & 835 & / 1 core & \\
CAT & st on & 52.35 \% & 71.57 \% & 34.36 \% & 23.71 \% & 206 & 804 & / & U. Nguyen, F. Rottensteiner and C. Heipke: CONFIDENCE-AWARE PEDESTRIAN TRACKING USING A STEREO CAMERA. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences 2019.\\
Be-Track & la on & 51.29 \% & 72.71 \% & 20.96 \% & 31.27 \% & 118 & 848 & 0.02 s / GPU & M. Dimitrievski, P. Veelaert and W. Philips: Behavioral Pedestrian Tracking Using a Camera and LiDAR Sensors on a Moving Vehicle. Sensors 2019.\\
MDP & on & 47.22 \% & 70.36 \% & 24.05 \% & 27.84 \% & 87 & 825 & 0.9 s / 8 cores & Y. Xiang, A. Alahi and S. Savarese: Learning to Track: Online Multi- Object Tracking by Decision Making. International Conference on Computer Vision (ICCV) 2015.Y. Xiang, W. Choi, Y. Lin and S. Savarese: Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection. IEEE Winter Conference on Applications of Computer Vision (WACV) 2017.\\
NOMT* & & 46.62 \% & 71.45 \% & 26.12 \% & 34.02 \% & 63 & 666 & 0.09 s / 16 cores & W. Choi: Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor . ICCV 2015.\\
MCMOT-CPD & & 45.94 \% & 72.44 \% & 20.62 \% & 34.36 \% & 143 & 764 & 0.01 s / 1 core & B. Lee, E. Erdenee, S. Jin, M. Nam, Y. Jung and P. Rhee: Multi-class Multi-object Tracking Using Changing Point Detection. ECCVWORK 2016.\\
JCSTD & on & 44.20 \% & 72.09 \% & 16.49 \% & 33.68 \% & 53 & 917 & 0.07 s / 1 core & W. Tian, M. Lauer and L. Chen: Online Multi-Object Tracking Using Joint Domain Information in Traffic Scenarios. IEEE Transactions on Intelligent Transportation Systems 2019.\\
SCEA* & on & 43.91 \% & 71.86 \% & 16.15 \% & 43.30 \% & 56 & 641 & 0.06 s / 1 core & J. Yoon, C. Lee, M. Yang and K. Yoon: Online Multi-object Tracking via Structural Constraint Event Aggregation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2016.\\
RMOT* & on & 43.77 \% & 71.02 \% & 19.59 \% & 41.24 \% & 153 & 748 & 0.02 s / 1 core & J. Yoon, M. Yang, J. Lim and K. Yoon: Bayesian Multi-Object Tracking Using Motion Context from Multiple Objects. IEEE Winter Conference on Applications of Computer Vision (WACV) 2015.\\
LP-SSVM* & & 43.76 \% & 70.48 \% & 20.62 \% & 34.36 \% & 73 & 809 & 0.02 s / 1 core & S. Wang and C. Fowlkes: Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions. International Journal of Computer Vision 2016.\\
CIWT* & st on & 43.37 \% & 71.44 \% & 13.75 \% & 34.71 \% & 112 & 901 & 0.28 s / 1 core & A. Osep, W. Mehner, M. Mathias and B. Leibe: Combined Image- and World-Space Tracking in Traffic Scenes. ICRA 2017.\\
NOMT-HM* & on & 39.26 \% & 71.14 \% & 21.31 \% & 41.92 \% & 184 & 863 & 0.09 s / 8 cores & W. Choi: Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor . ICCV 2015.\\
SMY & & 37.73 \% & 70.38 \% & 25.09 \% & 16.15 \% & 361 & 1429 & 0.2 s / 1 core & \\
NOMT & & 36.93 \% & 67.75 \% & 17.87 \% & 42.61 \% & 34 & 789 & 0.09 s / 16 core & W. Choi: Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor . ICCV 2015.\\
YT & on & 36.90 \% & 71.22 \% & 21.99 \% & 25.43 \% & 267 & 995 & 0.03 s / 4 cores & \\
AB3DMOT & la on & 36.36 \% & 64.86 \% & 14.09 \% & 48.45 \% & 142 & 773 & 0.0047s / 1 core & X. Weng and K. Kitani: A Baseline for 3D Multi-Object Tracking. arXiv:1907.03961 2019.\\
RMOT & on & 34.54 \% & 68.06 \% & 14.43 \% & 47.42 \% & 81 & 685 & 0.01 s / 1 core & J. Yoon, M. Yang, J. Lim and K. Yoon: Bayesian Multi-Object Tracking Using Motion Context from Multiple Objects. IEEE Winter Conference on Applications of Computer Vision (WACV) 2015.\\
LP-SSVM & & 33.33 \% & 67.38 \% & 12.37 \% & 45.02 \% & 72 & 818 & 0.05 s / 1 core & S. Wang and C. Fowlkes: Learning Optimal Parameters for Multi-target Tracking with Contextual Interactions. International Journal of Computer Vision 2016.\\
SCEA & on & 33.13 \% & 68.45 \% & 9.62 \% & 46.74 \% & 16 & 717 & 0.05 s / 1 core & J. Yoon, C. Lee, M. Yang and K. Yoon: Online Multi-object Tracking via Structural Constraint Event Aggregation. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2016.\\
CT & & 29.06 \% & 70.41 \% & 30.93 \% & 25.09 \% & 216 & 896 & 0.5 s / 1 core & \\
CEM & & 27.54 \% & 68.48 \% & 8.93 \% & 51.89 \% & 96 & 608 & 0.09 s / 1 core & A. Milan, S. Roth and K. Schindler: Continuous Energy Minimization for Multitarget Tracking. IEEE TPAMI 2014.\\
NOMT-HM & on & 27.49 \% & 67.99 \% & 15.12 \% & 50.52 \% & 73 & 732 & 0.09 s / 8 cores & W. Choi: Near-Online Multi-target Tracking with Aggregated Local Flow Descriptor . ICCV 2015.\\
Complexer-YOLO & la gp on & 16.46 \% & 62.69 \% & 2.41 \% & 38.14 \% & 527 & 1636 & 0.01 a / GPU & M. Simon, K. Amende, A. Kraus, J. Honer, T. Samann, H. Kaulbersch, S. Milz and H. Michael Gross: Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2019.
\end{tabular}