Table 2 Comparison with other methods on MOT15, MOT16 and MOT17 test datasets at large 1088x608 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

NOMT(Choi et al., 2015)35

33.7

44.6

12.2

44

442

11.5

 

CRF_Track(Xiang et al., 2019)36

40

49.6

23

28.6

658

3.2

 

TSMLCDEnew(Wang et al., 2016)37

34.3

44.1

14

39.4

618

6.5

 

AP_HWDPL(Chen et al., 2017)38

53

52.2

29.1

20.2

708

8.9

 

SST(Sun et al., 2019)39

38.3

45.6

17.6

41.2

614

6

 

PGA(Boragule et al., 2022)17

40.6

51.9

40.8

11.9

1129

9.7

 

GNNMatch(Papakis et al., 2020)40

46.7

43.2

21.8

28.2

820

0.1

 

DeepMOT(Xu et al., 2020)41

44.1

46.0

17.2

26.6

1347

4.9

 

MOMOT(Abbaspour et al., 2022)4

40.0

-

6.0

36.9

307

0.7

 

Tracktor++(Bergmann et al., 2019)13

44.1

46.7

18.0

26.2

1318

1.4

 

AntiTrack(Zhang et al., 2024)42

42.8

54.6

-

86.0

312

28

 

STMOT(Sun et al., 2024)22

44.1

46.0

17.2

26.6

-

-

 

Ours

48.6

55.4

33.7

13.3

1151

46.1

MOT16

HDTR(Babaee et al., 2018)43

53.6

46.6

21.2

37

618

3.6

 

STRN_MOT16(Xu et al., 2019)44

48.5

53.9

17

34.9

747

13.5

 

NOTA(Chen et al., 2019)45

49.8

55.3

17.9

37.7

614

19.2

 

CAAMMP(Kim et al., 2021)9

48.3

53.5

17

38.7

733

21

 

DMAN(Zhu et al., 2018)31

46.1

54.8

17.4

42.7

532

-

 

TG_CR(Ma et al., 2021)46

55.0

52.9

19.1

37.2

865

3.0

 

TPM(Peng et al., 2020)12

51.3

47.9

18.7

40.8

707

0.8

 

DeepMOT(Xu et al., 2020)41

54.8

53.4

19.1

37.0

645

4.9

 

Tracktor++(Bergmann et al., 2019)13

54.4

52.5

19.0

36.9

682

1.4

 

StrongSORT_P(Sukkar et al., 2024)47

38.4

52.2

-

-

-

-

 

GSP(Xu et al., 2024)48

46.7

52.0

21.5

34.1

-

17.6

 

NanoTrack(Li et al., 2024)18

30.0

38.9

-

-

-

-

 

Ours

56.9

53.8

25.4

29.1

1462

40.2

MOT17

NOTA(Chen et al., 2019)45

51.3

54.5

17.1

35.4

5798

17.8

 

JBNOT(Henschel et al., 2019)49

52.6

50.8

19.7

35.8

3050

5.4

 

SST(Sun et al., 2019)39

52.4

49.5

21.4

30.7

8431

5.2

 

PHD_GM(Sanchez et al., 2020)11

48.8

43.2

19.1

35.2

4407

22.3

 

CAAMMP(Kim et al., 2021)9

51.5

54.9

20.5

35.5

2563

20.1

 

DeepMOT(Xu et al., 2020)41

53.7

53.8

19.4

36.6

1947

4.9

 

HAM_SADF17(Yoon et al., 2018)50

48.3

51.1

17.1

41.7

1871

5

 

OTCD_1(Liu et al., 2022)51

48.6

47.9

16.2

41.2

3502

15.5

 

YOONKJ17(Yoon et al., 2020)52

51.4

54

21.2

37.3

2118

3.4

 

MapTrack(Wang et al., 2024)5

40.6

48.1

-

-

3329

-

 

TADN(Psalta et al., 2024)6

54.6

49.0

22.4

30.2

4869

10.0

 

Tracktor++(Bergmann et al., 2019)13

53.5

52.3

19.5

36.6

2072

1.4

 

NanoTrack(Li et al., 2024)18

29.6

38.4

-

-

-

-

 

LITE(Alikhanov et al., 2024)53

41.6

50.1

-

-

-

28.3

 

DFFAA(Li et al., 2023)54

53.4

52.3

21.1

26.1

5380

10.7

 

Ours

55.7

53.1

24.2

31.0

4458

39.5

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