Table 4 Performance comparison of state-of-the-art trackers on benchmark dataset.

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

Tracker

MOTA

IDF1

HOTA

FP

FN

IDs

FPS

VeTrack

79.3

75.8

62.1

25344

81753

1270

15.5

MITracker48

78.6

74.9

61.4

26789

83215

1385

14.2

STTrack49

77.9

74.3

60.8

27542

84627

1492

13.1

DeepEIoU36

77.2

73.8

60.3

28673

86149

1587

11.8

ByteTrack37

77.6

74.9

60.9

27536

87824

2403

17.7

RTracker6

75.8

72.6

59.1

31247

89524

1823

9.2

ReMOT1

75.1

70.2

54.5

36523

100463

2659

0.5

TransMOT40

74.1

73.2

60.0

37881

98655

2735

4.5

CorrTracker51

74.4

71.8

57.9

30451

97544

3028

7.5

SiamMOT7

74.3

70.0

–

–

–

–

6.2

TransTrack32

73.2

61.2

54.5

47136

90544

3870

9.7

CSTrack52

72.2

70.9

57.1

26581

125151

3698

4.4

FairMOT25

71.5

70.1

56.9

29879

131062

3532

13.5

TransCenter50

70.0

60.9

54.2

36154

187518

4445

1.0

SOTMOT39

68.8

69.1

–

40859

154214

5021

7.7

CTracker53

63.5

55.6

47.8

32287

197542

6784

3.1

MOTR33

64.2

66.0

–

50284

159227

2955

–