From: Fast ℓ 1-minimization algorithm for robust background subtraction
Dataset | Classic methods | Low-rank methods | Sparse methods | ||||||
---|---|---|---|---|---|---|---|---|---|
SOBS | ViBe | SuBS | DECO | MAMR | GOSUS | RePROCS | Xiao | Proposed | |
Office | 96.63 | 90.32 | 97.02 | 95.34 | 85.23 | 91.54 | 90.87 | 89.61 | 94.31 |
PETS2006 | 85.26 | 84.32 | 85.12 | 79.13 | 77.63 | 78.21 | 79.33 | 75.16 | 86.16 |
Fountain01 | 11.21 | 6.05 | 15.63 | 2.71 | 6.35 | 7.55 | 8.36 | 7.15 | 8.61 |
Fountain02 | 85.81 | 63.38 | 84.69 | 75.36 | 77.65 | 70.23 | 67.93 | 78.38 | 83.44 |
Parking | 36.68 | 45.33 | 72.76 | 34.61 | 58.03 | 30.84 | 40.37 | 59.71 | 75.31 |
Sofa | 62.18 | 61.97 | 62.69 | 50.31 | 63.46 | 51.24 | 47.87 | 67.49 | 69.63 |
Cubicle | 72.05 | 79.65 | 79.33 | 77.67 | 69.38 | 71.23 | 69.34 | 70.91 | 73.64 |
Copy Machine | 57.21 | 81.71 | 89.74 | 78.18 | 70.68 | 79.22 | 74.32 | 69.61 | 75.61 |
Park | 59.70 | 69.53 | 58.69 | 75.81 | 70.96 | 72.33 | 66.98 | 70.14 | 74.73 |
Dining Room | 71.73 | 75.49 | 70.36 | 82.47 | 78.33 | 76.48 | 70.38 | 72.30 | 84.67 |
Snow fall | 67.01 | 82.49 | 85.03 | 83.46 | 82.36 | 81.84 | 76.70 | 73.41 | 85.27 |
Skating | 76.33 | 73.67 | 80.25 | 83.81 | 85.68 | 79.83 | 75.93 | 78.64 | 82.11 |
Tram Crossroad | 74.18 | 85.64 | 71.36 | 74.62 | 76.69 | 75.65 | 67.33 | 71.49 | 75.29 |
Turnpike | 78.98 | 90.64 | 89.67 | 88.37 | 85.44 | 85.45 | 79.43 | 79.61 | 86.82 |
Winter Street | 51.04 | 30.58 | 55.56 | 66.13 | 49.64 | 38.45 | 33.20 | 57.91 | 60.34 |
Tram Station | 71.32 | 70.69 | 72.91 | 69.54 | 70.03 | 72.98 | 68.26 | 61.41 | 76.17 |
Turbulence0 | 2.64 | 5.36 | 8.65 | 38.34 | 35.67 | 37.94 | 33.62 | 29.34 | 40.34 |
Turbulence3 | 74.96 | 65.48 | 80.28 | 77.67 | 81.36 | 68.29 | 59.33 | 79.56 | 87.64 |
Average | 63.05 | 64.57 | 69.98 | 68.53 | 68.03 | 64.96 | 61.64 | 66.21 | 73.33 |