\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
MCTrack \cite{wang2024mctrackunified3dmultiobject} & 82.75 \% & 79.40 \% & 86.85 \% & 82.92 \% & 87.45 \% & 89.84 \% & 91.32 \% & 88.07 \% & 91.79 \%\\
BiTrack \cite{huang2024bitrackbidirectionaloffline3d} & 82.70 \% & 80.04 \% & 86.17 \% & 84.53 \% & 87.19 \% & 89.11 \% & 92.16 \% & 88.68 \% & 91.55 \%\\
VirConvTrack \cite{VirConv} & 81.87 \% & 78.14 \% & 86.39 \% & 82.00 \% & 86.92 \% & 89.08 \% & 91.58 \% & 88.04 \% & 90.24 \%\\
RobMOT \cite{nagy2024robmot} & 81.76 \% & 78.67 \% & 85.58 \% & 84.18 \% & 85.04 \% & 89.25 \% & 90.22 \% & 87.82 \% & 91.02 \%\\
VirConvTrack \cite{10205191} & 81.56 \% & 78.63 \% & 85.19 \% & 82.39 \% & 87.13 \% & 88.70 \% & 90.49 \% & 88.05 \% & 90.54 \%\\
RobMOT\_CasA \cite{nagy2024robmot} & 81.22 \% & 78.34 \% & 84.80 \% & 81.95 \% & 87.21 \% & 87.40 \% & 91.44 \% & 88.08 \% & 90.34 \%\\
RobMOT\_CasA \cite{nagy2024robmot} & 81.22 \% & 77.48 \% & 85.77 \% & 83.60 \% & 84.03 \% & 89.68 \% & 89.82 \% & 87.41 \% & 90.48 \%\\
MCTrack\_online \cite{wang2024mctrack} & 81.07 \% & 78.08 \% & 84.82 \% & 83.63 \% & 85.09 \% & 87.61 \% & 91.43 \% & 88.06 \% & 89.81 \%\\
CasTrack \cite{casa2022} & 81.00 \% & 78.58 \% & 84.22 \% & 84.10 \% & 84.86 \% & 87.55 \% & 90.47 \% & 87.49 \% & 91.91 \%\\
PC-TCNN \cite{wu2021} & 80.90 \% & 78.46 \% & 84.13 \% & 84.22 \% & 84.58 \% & 87.46 \% & 90.47 \% & 87.48 \% & 91.70 \%\\
LEGO \cite{zhang2023lego} & 80.75 \% & 78.91 \% & 83.27 \% & 84.64 \% & 84.94 \% & 86.87 \% & 90.19 \% & 87.92 \% & 90.61 \%\\
Rethink MOT \cite{wang2023mot} & 80.39 \% & 77.88 \% & 83.64 \% & 84.23 \% & 83.57 \% & 87.63 \% & 88.90 \% & 87.07 \% & 91.53 \%\\
CollabMOT \cite{10410636} & 80.02 \% & 78.85 \% & 81.86 \% & 82.60 \% & 86.32 \% & 85.34 \% & 88.41 \% & 87.14 \% & 91.70 \%\\
CasTrack \cite{9352500} & 79.96 \% & 77.95 \% & 82.71 \% & 83.47 \% & 84.80 \% & 86.42 \% & 89.98 \% & 87.56 \% & 90.52 \%\\
McByte \cite{ERROR: Wrong syntax in BIBTEX file.} & 79.94 \% & 77.36 \% & 83.17 \% & 80.69 \% & 86.44 \% & 86.14 \% & 89.38 \% & 86.97 \% & 91.06 \%\\
RAM \cite{tokmakov2022object} & 79.53 \% & 78.79 \% & 80.94 \% & 82.54 \% & 86.33 \% & 84.21 \% & 88.77 \% & 87.15 \% & 91.61 \%\\
YONTD-MOTv2 \cite{wang2024multi} & 79.52 \% & 75.83 \% & 84.01 \% & 82.31 \% & 83.69 \% & 87.16 \% & 90.70 \% & 87.65 \% & 88.06 \%\\
JHIT \cite{claasen2024interactingmultiplemodelbasedjoin t} & 79.21 \% & 76.76 \% & 82.29 \% & 81.63 \% & 84.62 \% & 85.94 \% & 88.19 \% & 86.91 \% & 89.80 \%\\
UG3DMOT \cite{he20243d} & 78.60 \% & 76.01 \% & 82.28 \% & 80.77 \% & 85.44 \% & 85.36 \% & 91.37 \% & 87.84 \% & 87.98 \%\\
MSA-MOT \cite{s22228650} & 78.52 \% & 75.19 \% & 82.56 \% & 82.42 \% & 82.21 \% & 85.21 \% & 90.16 \% & 87.00 \% & 88.01 \%\\
YONTD-MOT \cite{wang2023you} & 78.08 \% & 74.16 \% & 82.86 \% & 78.95 \% & 85.71 \% & 85.44 \% & 91.74 \% & 88.23 \% & 85.09 \%\\
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 \%\\
S3Track \cite{s3track} & 77.58 \% & 77.91 \% & 77.93 \% & 84.49 \% & 84.41 \% & 82.02 \% & 88.98 \% & 88.35 \% & 88.38 \%\\
C-TWiX \cite{miah2024learningdata} & 77.58 \% & 76.97 \% & 78.84 \% & 80.25 \% & 86.43 \% & 81.90 \% & 88.35 \% & 86.95 \% & 89.68 \%\\
Stereo3DMOT \cite{mao2023stereo3dmot} & 77.32 \% & 73.43 \% & 81.86 \% & 77.34 \% & 85.38 \% & 84.66 \% & 89.61 \% & 86.72 \% & 87.10 \%\\
OC-SORT \cite{cao2022observationcentric} & 76.54 \% & 77.25 \% & 76.39 \% & 80.64 \% & 86.36 \% & 80.33 \% & 87.17 \% & 87.01 \% & 90.28 \%\\
3DMLA \cite{cho20233d} & 75.65 \% & 71.92 \% & 80.02 \% & 77.31 \% & 83.33 \% & 83.73 \% & 88.39 \% & 86.62 \% & 85.03 \%\\
StrongFusion-MOT \cite{9976946} & 75.65 \% & 72.08 \% & 79.84 \% & 75.20 \% & 86.23 \% & 82.42 \% & 89.81 \% & 86.74 \% & 85.53 \%\\
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 \%\\
CollabMOT \cite{10410636} & 75.26 \% & 75.46 \% & 75.74 \% & 80.06 \% & 84.36 \% & 78.75 \% & 88.53 \% & 86.44 \% & 89.08 \%\\
APPTracker+ \cite{zhou2024apptracker+} & 75.19 \% & 75.55 \% & 75.36 \% & 78.77 \% & 86.04 \% & 78.34 \% & 88.24 \% & 86.59 \% & 89.09 \%\\
PolarMOT \cite{polarmot} & 75.16 \% & 73.94 \% & 76.95 \% & 80.81 \% & 82.40 \% & 80.00 \% & 89.27 \% & 87.12 \% & 85.08 \%\\
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 \%\\
FNC2 \cite{Jiang2024Adaptive} & 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 \%\\
SpbTracker \cite{im2024spb3dtracker} & 72.66 \% & 74.69 \% & 71.43 \% & 79.04 \% & 85.59 \% & 77.69 \% & 85.86 \% & 87.48 \% & 86.51 \%\\
TrackMPNN \cite{rangesh2101trackmpnn} & 72.30 \% & 74.69 \% & 70.63 \% & 80.02 \% & 83.11 \% & 73.58 \% & 87.14 \% & 86.14 \% & 87.33 \%\\
EAFFMOT \cite{jin20243d} & 72.28 \% & 71.97 \% & 73.08 \% & 77.05 \% & 83.77 \% & 76.39 \% & 88.66 \% & 86.73 \% & 84.77 \%\\
DiTMOT \cite{wang2021ditnet} & 72.21 \% & 71.09 \% & 74.04 \% & 75.98 \% & 83.28 \% & 76.57 \% & 89.97 \% & 86.15 \% & 84.53 \%\\
MO-YOLO \cite{pan2023mo} & 72.08 \% & 71.02 \% & 73.84 \% & 75.59 \% & 83.52 \% & 77.75 \% & 86.41 \% & 86.04 \% & 83.19 \%\\
SMAT \cite{10.100797830305051655} & 71.88 \% & 72.13 \% & 72.13 \% & 74.43 \% & 87.33 \% & 74.77 \% & 88.30 \% & 87.19 \% & 83.64 \%\\
NC2 \cite{10154170} & 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 \%\\
BcMODT \cite{zhang2023boost} & 71.00 \% & 73.62 \% & 69.14 \% & 78.86 \% & 83.97 \% & 72.34 \% & 88.70 \% & 86.93 \% & 85.48 \%\\
JMODT \cite{huang2021joint} & 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 \%\\
PNAS-MOT \cite{peng2024pnasmot} & 67.32 \% & 77.69 \% & 58.99 \% & 81.58 \% & 85.81 \% & 64.70 \% & 80.74 \% & 86.94 \% & 89.59 \%\\
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}