## 4 Experiments and Results
### Comparison with State-of-the-Art Techniques
\begin{table}
\begin{tabular}{l c c c c c c c} \hline \hline
**Dataset/VLM** & **MOTA \(\uparrow\)** & **MOTP \(\uparrow\)** & **IDSw \(\downarrow\)** & **FM \(\downarrow\)** & **MT \(\uparrow\)** & **PT \(\uparrow\)** & **ML \(\downarrow\)** \\ \hline \multicolumn{8}{c}{**MOT15**} \\ \hline DeepSort [60] & 73.7 & 78.5 & 1071 & 1954 & 255 & 193 & 441 \\ ByteTrack [61] & 83.9 & 88.1 & 826 & 1277 & 388 & 203 & 197 \\ Deep-OC-SORT [62] & 83.6 & 86.8 & 803 & 1261 & 379 & 217 & 204 \\ StrongSORT [63] & 84.1 & 89.2 & 821 & 1224 & 408 & 187 & 231 \\ BoostTrack [46] & 84.8 & 89.6 & 792 & 1289 & 411 & 204 & 218 \\ SFSORT [64] & 85.2 & **90.7** & **734** & 1086 & 432 & 198 & 205 \\ Hybrid-SORT [36] & **85.5** & 90.4 & 753 & 1109 & 447 & 208 & 182 \\ UCMCTrack [65] & 84.2 & 89.3 & 776 & 1175 & 403 & 221 & 211 \\ TrackFormer [66] & 84.3 & 87.4 & 917 & 1033 & 329 & 269 & 246 \\ TransTrack [67] & 80.8 & 85.6 & 884 & 956 & **465** & 204 & 289 \\ MOTR [68] & 82.4 & 88.7 & 1238 & **907** & 364 & 197 & **173** \\ LTrack [69] & 84.2 & 89.0 & 913 & 887 & 430 & 226 & 208 \\
**ReTrackVLM (Ours)** & 84.0 & 88.6 & 1147 & 968 & 374 & **286** & 229 \\ \hline \multicolumn{8}{c}{**MOT16/17**} \\ \hline DeepSort [60] & 67.3 & 72.9 & 1822 & 2130 & 261 & 209 & 1047 \\ ByteTrack [61] & 77.5 & 84.6 & 1328 & 2288 & 748 & 361 & 757 \\ Deep-OC-SORT [62] & 76.9 & 83.1 & 1277 & 2143 & 1739 & 324 & 778 \\ StrongSORT [63] & 73.2 & 81.7 & 1412 & 2271 & 1354 & 308 & 904 \\ BoostTrack [46] & 77.9 & 85.8 & 1293 & 2053 & 1785 & 356 & 806 \\ SFSORT [64] & 78.2 & **86.4** & **1301** & **1985** & 1647 & 342 & 769 \\ Hybrid-SORT [36] & 76.8 & 75.3 & **1239** & 2164 & 1521 & 380 & 792 \\ UCMCTrack [65] & 78.3 & 85.2 & 1586 & 2179 & 1662 & 319 & 783 \\ TrackFormer [66] & 72.8 & 70.6 & 2537 & 2440 & 1326 & 254 & **401** \\ TransTrack [67] & 75.6 & 81.6 & 3536 & 2312 & **2296** & 386 & 998 \\ MOTR [68] & 74.0 & 80.9 & 2673 & 2097 & 1592 & 407 & 696 \\ LTrack [69] & 77.4 & 80.2 & 2104 & 2085 & 1809 & 397 & 632 \\
**ReTrackVLM (Ours)** & **79.7** & 78.1 & 1889 & 2103 & 1867 & **428** & 942 \\ \hline \multicolumn{8}{c}{**MOT20**} \\ \hline DeepSort [60] & 63.3 & 68.7 & 1256 & 2517 & 369 & 157 & 398 \\ ByteTrack [61] & 76.4 & **82.7** & 1168 & 1682 & 576 & 182 & 323 \\ Deep-OC-SORT [62] & 73.9 & 81.2 & 1071 & 1573 & 535 & 193 & 307 \\ StrongSORT [63] & 70.4 & 78.9 & **983** & **1449** & 549 & 164 & 363 \\ BoostTrack [46] & 75.8 & 84.1 & 1097 & 1513 & 591 & 185 & 266 \\ SFSORT [64] & 74.8 & 72.6 & 1204 & 1538 & 557 & 190 & 314 \\ Hybrid-SORT [36] & 74.9 & 81.4 & 1058 & 1632 & 605 & 174 & 272 \\ UCMCTrack [65] & 74.3 & 80.9 & 1201 & 1564 & 550 & 166 & 331 \\ TrackFormer [66] & 68.2 & 80.1 & 1385 & 1796 & 612 & 185 & 231 \\ TransTrack [67] & 70.7 & 79.5 & 1447 & 1735 & 506 & 210 & 354 \\ MOTR [68] & 69.2 & 74.7 & 1675 & 1749 & 466 & 204 & 301 \\ LTrack [69] & 76.0 & 79.2 & 1230 & 1612 & 524 & 189 & 298 \\
**ReTrackVLM (Ours)** & 75.1 & 78.5 & 1163 & 1650 & **637** & **202** & **263** \\ \hline \hline \end{tabular}
\end{table} 
Table 5: Comparison of multi-object tracking performance across benchmark datasets. Arrows indicate whether higher or lower values are better for each metric, with the best results highlighted in bold.