Table 4 Performance comparison of different multi-object tracking methods combined with the RT-DETR-R50 detector on an RTX 3090 GPU. Params indicate the total model size including the detector. All baseline methods were reproduced according to the official implementations or descriptions in their original papers to ensure fair comparison.
Method | MOTA | IDF1 | Recall | IDP | IDR | Params(M) | FPS |
|---|---|---|---|---|---|---|---|
SORT35 | 0.511 | 0.543 | 0.620 | 0.520 | 0.480 | 42.1 | 107.6 |
DeepSORT36 | 0.592 | 0.612 | 0.660 | 0.600 | 0.580 | 45.3 | 95.4 |
ByteTrack41 | 0.701 | 0.664 | 0.710 | 0.660 | 0.620 | 43.7 | 98.9 |
CenterTrack37 | 0.614 | 0.598 | 0.680 | 0.590 | 0.570 | 47.5 | 86.3 |
FairMOT38 | 0.655 | 0.642 | 0.700 | 0.630 | 0.610 | 49.2 | 83.7 |
TraDes46 | 0.628 | 0.606 | 0.690 | 0.600 | 0.580 | 50.6 | 79.4 |
QDTrack47 | 0.641 | 0.649 | 0.690 | 0.640 | 0.630 | 46.8 | 84.2 |
TransTrack39 | 0.663 | 0.661 | 0.710 | 0.650 | 0.620 | 53.9 | 68.1 |
MOTR7 | 0.676 | 0.668 | 0.720 | 0.660 | 0.640 | 55.4 | 61.7 |
GTR48 | 0.688 | 0.671 | 0.720 | 0.670 | 0.650 | 57.8 | 59.3 |
Ours | 0.719 | 0.693 | 0.742 | 0.689 | 0.676 | 51.2 | 76.5 |