Table 2 Performance comparison of different trackers on benchmark dataset.

From: VeTrack leverages transformer-based appearance modeling and confidence-guided multi-level association for robust multi-vehicle tracking

Tracker

mMOTA

mIDF1

MOTA

IDF1

FN

FP

IDs

MT

ML

VeTrack

46.1

56.9

70.5

72.6

102513

39874

5987

20587

4451

MITracker48

44.8

55.2

69.8

71.5

108432

41258

6321

19876

4672

STTrack49

43.5

54.1

68.9

70.8

115673

42591

6854

19234

4893

DeepEIoU36

43.1

55.6

70.6

72.1

128435

40228

6651

21590

4980

ReMOT1

42.3

53.8

68.2

69.7

119856

43892

7243

18765

5124

RTracker6

38.7

55.1

68.0

69.5

214551

55977

18646

15225

5503

ByteTrack37

39.9

54.5

67.6

70.9

190632

65428

16453

18857

5206

FairMOT25

38.0

52.4

65.3

69.5

236140

66992

175543

17736

5536

CSTrack38

37.1

51.9

65.0

69.3

225966

72059

19860

16954

6408

SOTMOT39

36.5

51.0

64.2

67.9

321059

70329

22034

15534

6559

TransMOT40

34.8

48.3

62.9

66.8

332557

85436

22982

15584

7721

TransTrack32

33.9

44.2

62.1

65.3

295428

88702

19830

14539

6934

TransCenter50

33.0

45.8

60.2

64.7

442360

90334

21533

14431

8835

MOTR33

30.5

43.1

58.7

62.2

450376

108537

25907

12095

10524