Table 1 Comparison of \(f_1\), \(f_2\), f results for different algorithms.
From: Moving objects detection based on tensor ring low rank decomposition
Algorithm | \(TVPCRA\) | SCLR-\(L_{1/2}\) | \(DNLRITV\) | \(DHLRTTV\) | TQR-SVD | \(TRLRTTV(Ours)\) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
\(f_1\) | \(f_2\) | f | \(f_1\) | \(f_2\) | f | \(f_1\) | \(f_2\) | f | \(f_1\) | \(f_2\) | f | \(f_1\) | \(f_2\) | f | \(f_1\) | \(f_2\) | f | |
Bird | 0.47 | 0.46 | 0.46 | 0.83 | 0.78 | 0.80 | 0.67 | 0.60 | 0.63 | 0.90 | 0.85 | 0.87 | 0.89 | 0.87 | 0.88 | 0.93 | 0.89 | 0.909 |
Jumping | 0.68 | 0.42 | 0.52 | 0.74 | 0.67 | 0.59 | 0.65 | 0.55 | 0.52 | 0.96 | 0.85 | 0.90 | 0.95 | 0.83 | 0.89 | 0.97 | 0.90 | 0.933 |
Ocean | 0.58 | 0.54 | 0.56 | 0.84 | 0.77 | 0.65 | 0.80 | 0.61 | 0.58 | 0.91 | 0.88 | 0.894 | 0.90 | 0.89 | 0.89 | 0.90 | 0.92 | 0.909 |
Boat | 0.74 | 0.68 | 0.69 | 0.69 | 0.70 | 0.73 | 0.78 | 0.67 | 0.70 | 0.94 | 0.84 | 0.887 | 0.90 | 0.86 | 0.88 | 0.84 | 0.96 | 0.896 |
Bridge | 0.57 | 0.43 | 0.48 | 0.43 | 0.33 | 0.37 | 0.66 | 0.62 | 0.63 | 0.85 | 0.77 | 0.83 | 0.87 | 0.82 | 0.84 | 0.89 | 0.84 | 0.864 |
