\begin{tabular}{c | c | c | c | c | c | c | c | c | c}
{\bf Method} & {\bf HOTA} & {\bf DetA} & {\bf AssA} & {\bf DetRe} & {\bf DetPr} & {\bf AssRe} & {\bf AssPr} & {\bf LocA} & {\bf MOTA}\\ \hline
PC-TCNN \cite{wu2021} & 80.90 \% & 78.46 \% & 84.13 \% & 84.22 \% & 84.58 \% & 87.46 \% & 90.47 \% & 87.48 \% & 91.70 \%\\
RAM \cite{tokmakov2022object} & 79.53 \% & 78.79 \% & 80.94 \% & 82.54 \% & 86.33 \% & 84.21 \% & 88.77 \% & 87.15 \% & 91.61 \%\\
PermaTrack \cite{tokmakov2021learning} & 78.03 \% & 78.29 \% & 78.41 \% & 81.71 \% & 86.54 \% & 81.14 \% & 89.49 \% & 87.10 \% & 91.33 \%\\
PC3T \cite{wu20213d} & 77.80 \% & 74.57 \% & 81.59 \% & 79.19 \% & 84.07 \% & 84.77 \% & 88.75 \% & 86.07 \% & 88.81 \%\\
OC-SORT \cite{cao2022observationcentric} & 76.54 \% & 77.25 \% & 76.39 \% & 80.64 \% & 86.36 \% & 80.33 \% & 87.17 \% & 87.01 \% & 90.28 \%\\
Mono\_3D\_KF \cite{9626850} & 75.47 \% & 74.10 \% & 77.63 \% & 78.86 \% & 82.98 \% & 80.23 \% & 88.88 \% & 85.48 \% & 88.48 \%\\
DeepFusion-MOT \cite{9810346} & 75.46 \% & 71.54 \% & 80.05 \% & 75.34 \% & 85.25 \% & 82.63 \% & 89.77 \% & 86.70 \% & 84.63 \%\\
EagerMOT \cite{Kim21ICRA} & 74.39 \% & 75.27 \% & 74.16 \% & 78.77 \% & 86.42 \% & 76.24 \% & 91.05 \% & 87.17 \% & 87.82 \%\\
DEFT \cite{Chaabane2021deft2021CVPRWorkshops} & 74.23 \% & 75.33 \% & 73.79 \% & 79.96 \% & 83.97 \% & 78.30 \% & 85.19 \% & 86.14 \% & 88.38 \%\\
TripletTrack \cite{Marinello2022CVPR} & 73.58 \% & 73.18 \% & 74.66 \% & 76.18 \% & 86.81 \% & 77.31 \% & 89.55 \% & 87.37 \% & 84.32 \%\\
Opm-NC2 \cite{2022IEEE sensors journal} & 73.19 \% & 73.27 \% & 73.77 \% & 80.98 \% & 81.67 \% & 77.05 \% & 89.84 \% & 87.31 \% & 84.21 \%\\
mono3DT \cite{Hu3DT19} & 73.16 \% & 72.73 \% & 74.18 \% & 76.51 \% & 85.28 \% & 77.18 \% & 87.77 \% & 86.88 \% & 84.28 \%\\
LGM \cite{wang2021track} & 73.14 \% & 74.61 \% & 72.31 \% & 80.53 \% & 82.16 \% & 76.38 \% & 84.74 \% & 85.85 \% & 87.60 \%\\
CenterTrack \cite{zhou2020tracking} & 73.02 \% & 75.62 \% & 71.20 \% & 80.10 \% & 84.56 \% & 73.84 \% & 89.00 \% & 86.52 \% & 88.83 \%\\
QD-3DT \cite{Hu2021QD3DT} & 72.77 \% & 74.09 \% & 72.19 \% & 78.13 \% & 85.48 \% & 74.87 \% & 89.21 \% & 87.16 \% & 85.94 \%\\
TrackMPNN \cite{rangesh2101trackmpnn} & 72.30 \% & 74.69 \% & 70.63 \% & 80.02 \% & 83.11 \% & 73.58 \% & 87.14 \% & 86.14 \% & 87.33 \%\\
DiTMOT \cite{wang2021ditnet} & 72.21 \% & 71.09 \% & 74.04 \% & 75.98 \% & 83.28 \% & 76.57 \% & 89.97 \% & 86.15 \% & 84.53 \%\\
GQY\_tracking \cite{ERROR: Wrong syntax in BIBTEX file.} & 72.05 \% & 69.46 \% & 75.15 \% & 78.20 \% & 79.09 \% & 81.42 \% & 85.07 \% & 86.54 \% & 80.98 \%\\
SMAT \cite{10.100797830305051655} & 71.88 \% & 72.13 \% & 72.13 \% & 74.43 \% & 87.33 \% & 74.77 \% & 88.30 \% & 87.19 \% & 83.64 \%\\
NC2 \cite{2021arXiv} & 71.85 \% & 69.61 \% & 74.81 \% & 81.19 \% & 76.99 \% & 78.57 \% & 89.33 \% & 87.30 \% & 78.52 \%\\
TuSimple \cite{choi2015near} & 71.55 \% & 72.62 \% & 71.11 \% & 76.78 \% & 83.84 \% & 74.51 \% & 86.26 \% & 85.72 \% & 86.31 \%\\
JMODT \cite{2108.04602} & 70.73 \% & 73.45 \% & 68.76 \% & 78.67 \% & 84.02 \% & 72.46 \% & 88.02 \% & 86.95 \% & 85.35 \%\\
AB3DMOT+PointRCNN \cite{Weng2020AB3DMOT} & 69.99 \% & 71.13 \% & 69.33 \% & 75.66 \% & 84.40 \% & 72.31 \% & 89.02 \% & 86.85 \% & 83.61 \%\\
JRMOT \cite{Shenoi2020JRMOTAR} & 69.61 \% & 73.05 \% & 66.89 \% & 76.95 \% & 85.07 \% & 69.18 \% & 88.95 \% & 86.72 \% & 85.10 \%\\
MOTSFusion \cite{luiten2019MOTSFusion} & 68.74 \% & 72.19 \% & 66.16 \% & 76.05 \% & 84.88 \% & 69.57 \% & 85.49 \% & 86.56 \% & 84.24 \%\\
IMMDP \cite{Xiang2015ICCV} & 68.66 \% & 68.02 \% & 69.76 \% & 71.47 \% & 83.28 \% & 74.50 \% & 82.02 \% & 84.80 \% & 82.75 \%\\
SRK\_ODESA(hc) \cite{ODESA2020} & 68.51 \% & 75.40 \% & 63.08 \% & 78.89 \% & 86.00 \% & 65.89 \% & 87.47 \% & 86.88 \% & 87.79 \%\\
Quasi-Dense \cite{pang2021quasidense} & 68.45 \% & 72.44 \% & 65.49 \% & 76.01 \% & 85.37 \% & 68.28 \% & 88.53 \% & 86.50 \% & 84.93 \%\\
MASS \cite{karunasekera2019multiple} & 68.25 \% & 72.92 \% & 64.46 \% & 76.83 \% & 85.14 \% & 72.12 \% & 81.46 \% & 86.80 \% & 84.64 \%\\
JCSTD \cite{Tian2019MOT} & 65.94 \% & 65.37 \% & 67.03 \% & 68.49 \% & 82.42 \% & 71.02 \% & 82.25 \% & 84.03 \% & 80.24 \%\\
MDP \cite{Xiang2015ICCV} & 64.79 \% & 63.04 \% & 67.05 \% & 66.18 \% & 82.22 \% & 69.61 \% & 85.61 \% & 84.24 \% & 76.08 \%\\
NOMT* \cite{Choi2015ICCV} & 64.77 \% & 63.08 \% & 67.04 \% & 66.92 \% & 79.28 \% & 70.38 \% & 83.14 \% & 82.22 \% & 77.91 \%\\
SRK\_ODESA(mc) \cite{ODESA2020} & 64.25 \% & 74.87 \% & 55.70 \% & 78.62 \% & 84.68 \% & 62.10 \% & 81.78 \% & 85.85 \% & 88.50 \%\\
MOTBeyondPixels \cite{MOTBeyondPixels} & 63.75 \% & 72.87 \% & 56.40 \% & 76.58 \% & 85.38 \% & 59.05 \% & 86.70 \% & 86.90 \% & 82.68 \%\\
mmMOT \cite{mmMOT2019ICCV} & 62.05 \% & 72.29 \% & 54.02 \% & 76.17 \% & 84.89 \% & 58.98 \% & 82.40 \% & 86.58 \% & 83.23 \%\\
FANTrack \cite{Baser2019FANTrack3M} & 60.85 \% & 64.36 \% & 58.69 \% & 69.17 \% & 80.82 \% & 60.78 \% & 88.94 \% & 84.72 \% & 75.84 \%\\
DSM \cite{frossardtracking} & 60.05 \% & 64.09 \% & 57.18 \% & 67.22 \% & 83.64 \% & 59.91 \% & 86.32 \% & 85.39 \% & 73.94 \%\\
aUToTrack \cite{Burnett2019} & 59.83 \% & 67.82 \% & 53.68 \% & 72.66 \% & 79.60 \% & 55.94 \% & 86.52 \% & 83.10 \% & 80.97 \%\\
extraCK \cite{gunduz2018lightweight} & 59.76 \% & 65.18 \% & 55.47 \% & 69.21 \% & 81.69 \% & 61.82 \% & 75.70 \% & 84.30 \% & 79.29 \%\\
3D-CNN/PMBM \cite{Scheidegger2018} & 59.12 \% & 65.43 \% & 54.28 \% & 69.87 \% & 80.68 \% & 57.28 \% & 83.89 \% & 83.94 \% & 79.23 \%\\
NOMT-HM* \cite{Choi2015ICCV} & 59.08 \% & 61.27 \% & 57.45 \% & 65.14 \% & 79.29 \% & 60.25 \% & 83.46 \% & 82.63 \% & 74.66 \%\\
Point3DT \cite{PointTrackNet} & 57.20 \% & 55.71 \% & 59.15 \% & 64.66 \% & 68.67 \% & 63.20 \% & 78.30 \% & 80.07 \% & 67.56 \%\\
LP-SSVM* \cite{Wang2016IJCV} & 56.62 \% & 61.02 \% & 52.80 \% & 65.32 \% & 76.83 \% & 55.61 \% & 80.07 \% & 80.92 \% & 76.82 \%\\
MCMOT-CPD \cite{Lee2016ECCVWORK} & 56.61 \% & 64.28 \% & 50.55 \% & 67.37 \% & 82.77 \% & 53.96 \% & 81.97 \% & 84.26 \% & 77.98 \%\\
NOMT \cite{Choi2015ICCV} & 56.49 \% & 52.29 \% & 61.59 \% & 54.73 \% & 78.75 \% & 64.63 \% & 83.40 \% & 81.41 \% & 66.36 \%\\
SCEA* \cite{Yoon2016CVPR} & 56.09 \% & 60.70 \% & 52.15 \% & 64.97 \% & 77.83 \% & 54.87 \% & 81.17 \% & 81.94 \% & 74.92 \%\\
RMOT* \cite{Yoon2015WACV} & 55.82 \% & 54.95 \% & 57.34 \% & 62.56 \% & 69.08 \% & 62.58 \% & 74.77 \% & 78.82 \% & 65.07 \%\\
CIWT* \cite{Osep17ICRA} & 54.90 \% & 60.57 \% & 49.99 \% & 64.13 \% & 78.77 \% & 51.98 \% & 82.33 \% & 81.87 \% & 74.44 \%\\
FAMNet \cite{chufamnet} & 52.56 \% & 61.00 \% & 45.51 \% & 64.40 \% & 78.67 \% & 48.66 \% & 77.41 \% & 81.47 \% & 75.92 \%\\
SASN-MCF\_nano \cite{gunduz2019efficient} & 52.24 \% & 59.65 \% & 46.22 \% & 66.28 \% & 77.27 \% & 56.20 \% & 68.77 \% & 84.56 \% & 69.82 \%\\
NOMT-HM \cite{Choi2015ICCV} & 52.17 \% & 48.58 \% & 56.45 \% & 50.76 \% & 79.02 \% & 58.78 \% & 84.62 \% & 81.82 \% & 60.68 \%\\
SSP* \cite{Lenz2015ICCV} & 51.16 \% & 58.96 \% & 44.64 \% & 65.26 \% & 74.09 \% & 46.75 \% & 80.78 \% & 81.32 \% & 70.94 \%\\
mbodSSP* \cite{Lenz2015ICCV} & 50.92 \% & 58.57 \% & 44.51 \% & 63.69 \% & 75.67 \% & 46.47 \% & 81.23 \% & 81.44 \% & 70.78 \%\\
Complexer-YOLO \cite{Simon2019CVPRWorkshops} & 49.12 \% & 62.44 \% & 39.34 \% & 67.58 \% & 76.86 \% & 40.72 \% & 85.23 \% & 81.47 \% & 72.61 \%\\
LP-SSVM \cite{Wang2016IJCV} & 47.21 \% & 47.93 \% & 46.77 \% & 50.19 \% & 77.19 \% & 48.78 \% & 81.46 \% & 80.40 \% & 61.08 \%\\
DCO-X* \cite{Milan2013CVPR} & 46.53 \% & 56.69 \% & 38.71 \% & 62.56 \% & 74.41 \% & 41.26 \% & 79.21 \% & 81.50 \% & 66.22 \%\\
RMOT \cite{Yoon2015WACV} & 44.80 \% & 42.02 \% & 48.32 \% & 44.53 \% & 73.59 \% & 51.68 \% & 77.62 \% & 78.92 \% & 51.92 \%\\
CEM \cite{Milan2014PAMI} & 43.41 \% & 41.72 \% & 45.77 \% & 43.72 \% & 76.72 \% & 47.45 \% & 83.68 \% & 80.44 \% & 51.34 \%\\
SCEA \cite{Yoon2016CVPR} & 43.06 \% & 44.75 \% & 41.70 \% & 46.22 \% & 80.08 \% & 43.11 \% & 84.22 \% & 81.84 \% & 56.00 \%\\
TBD \cite{Geiger2014PAMI} & 43.01 \% & 43.06 \% & 43.30 \% & 44.50 \% & 79.49 \% & 44.94 \% & 84.22 \% & 81.47 \% & 53.94 \%\\
SORT \cite{bewley2016simple} & 42.52 \% & 44.01 \% & 41.31 \% & 47.30 \% & 73.93 \% & 42.83 \% & 83.04 \% & 80.75 \% & 53.15 \%\\
SSP \cite{Lenz2015ICCV} & 40.07 \% & 44.83 \% & 36.13 \% & 46.55 \% & 78.34 \% & 39.99 \% & 75.30 \% & 80.91 \% & 56.33 \%\\
mbodSSP \cite{Lenz2015ICCV} & 39.49 \% & 43.94 \% & 35.82 \% & 45.72 \% & 77.85 \% & 36.95 \% & 84.35 \% & 80.76 \% & 54.10 \%\\
ODAMOT \cite{Gaidon2015BMVC} & 37.05 \% & 46.53 \% & 30.07 \% & 49.91 \% & 73.20 \% & 32.46 \% & 78.19 \% & 79.26 \% & 57.03 \%\\
FMMOVT \cite{Alencar2015LARS} & 34.35 \% & 33.80 \% & 35.39 \% & 39.20 \% & 62.79 \% & 39.66 \% & 75.42 \% & 80.40 \% & 31.23 \%\\
MCF \cite{Zhang2008CVPR} & 33.98 \% & 35.97 \% & 32.32 \% & 36.87 \% & 79.67 \% & 33.65 \% & 82.48 \% & 81.31 \% & 44.40 \%\\
HM \cite{Geiger2013} & 33.79 \% & 34.30 \% & 33.45 \% & 35.16 \% & 79.56 \% & 34.55 \% & 83.08 \% & 81.33 \% & 42.36 \%\\
DCO \cite{Andriyenko2012CVPR} & 33.45 \% & 36.33 \% & 31.30 \% & 40.93 \% & 64.11 \% & 34.23 \% & 73.46 \% & 77.25 \% & 36.72 \%\\
DP-MCF \cite{Pirsiavash2011CVPR} & 25.97 \% & 35.69 \% & 19.12 \% & 36.76 \% & 78.84 \% & 28.98 \% & 39.84 \% & 81.19 \% & 36.89 \%
\end{tabular}