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Table 2 Comparison between Gaussian filter and Kalman filter

From: Digital video stabilization based on adaptive camera trajectory smoothing

No. of videos

Original

Gaussian filter

 

Kalman filter

 
  

σ=40

   
 

ITF

ITF

Hold pixels (%)

ITF

Hold pixels (%)

1

18.793

27.738

69.276

25.888

71.000

2

20.390

29.331

71.750

27.201

74.771

3

16.186

22.559

72.972

22.122

73.003

4

19.965

33.380

48.958

26.298

54.903

5

23.277

28.660

2.540

25.991

4.958

6

19.681

29.804

67.891

25.576

73.507

7

24.109

28.510

60.495

28.063

57.167

8

17.881

25.448

70.648

24.081

72.287

9

19.248

23.251

25.797

21.426

33.818

10

12.972

18.453

17.519

16.680

27.204

11

21.487

26.826

43.599

25.704

52.875

12

15.081

0

0

20.219

2.686

13

23.841

30.621

70.312

28.200

71.875

14

18.065

20.265

7.448

20.902

7.642

Average

19.355

24.631

44.953

24.167

48.406