Table 3 Comparison with other methods on MOT15, MOT16 and MOT17 train and test datasets at small 576x320 resolution.

From: Dual attention for multi object tracking with intra sample context and cross sample interaction

Dataset

Method

MOTA \(\uparrow\)

IDF1 \(\uparrow\)

MT \(\uparrow\)

ML \(\downarrow\)

IDs \(\downarrow\)

FPS \(\uparrow\)

MOT15-Train

JDE(Wang et al., 2020)10

48.7

58.9

328

80

753

44.2

 

TADN(Psalta et al., 2024)6

47.7

54.6

277

105

781

13.8

 

Ours

52.4

59.9

320

77

760

56.8

MOT16-Train

JDE(Wang et al., 2020)10

61.6

61.8

199

75

1483

40.7

 

TADN(Psalta et al., 2024)6

60.1

60.4

132

164

1414

12.1

 

Ours

61.9

63.6

195

79

1303

53.2

MOT15-Test

JDE(Wang et al., 2020)10

36.3

47.9

158

168

1453

44.8

 

TADN(Psalta et al., 2024)6

42.9

49.0

112

241

1595

14.4

 

Ours

44.6

50.9

174

122

1548

57.5

MOT16-Test

JDE(Wang et al., 2020)10

45.7

44.5

122

309

1768

41.6

 

TADN(Psalta et al., 2024)6

46.1

43.5

137

296

1832

12.3

 

Ours

50.3

47.6

152

272

1811

53.5

MOT17-Test

JDE(Wang et al., 2020)10

44.5

43.8

369

999

5286

40.3

 

TADN(Psalta et al., 2024)6

43.7

43.3

352

1011

5312

11.6

 

Ours

49.0

46.8

456

885

5463

52.9