This is a C++ implementation of the Tracking-Learning-Detection (TLD) algorithm.
The code is functional right now, but not stable, i.e. little changes of parameters will lead the result turning worse.
| Sequence | Frames | OpenTLD(MatLab) | My implementation(404dd93302) |
|---|---|---|---|
| 1.David | 761 | 1.00 / 1.00 / 1.00 | 0.968379 / 0.968379 / 0.968379 |
| 2.Jumping | 313 | 1.00 / 1.00 / 1.00 | 1.000000 / 0.990385 / 0.995169 |
| 3.Pedestrian 1 | 140 | 1.00 / 1.00 / 1.00 | 1.000000 / 0.992806 / 0.996390 |
| 4.Pedestrian 2 | 338 | 0.89 / 0.92 / 0.91 | 0.842857 / 0.445283 / 0.582716 |
| 5.Pedestrian 3 | 184 | 0.99 / 1.00 / 0.99 | 0.987097 / 1.000000 / 0.993506 |
| 6.Car | 945 | 0.92 / 0.97 / 0.94 | 0.928339 / 0.996503 / 0.961214 |
| 7.Motocross | 2665 | 0.89 / 0.77 / 0.83 | 0.821918 / 0.849858 / 0.835655 |
| 8.Volkswagen | 8576 | 0.80 / 0.96 / 0.87 | 0.834528 / 0.997275 / 0.908672 |
| 9.Carchase | 9928 | 0.86 / 0.70 / 0.77 | 0.798744 / 0.646189 / 0.714413 |
| 10.Panda | 3000 | 0.58 / 0.63 / 0.60 | 0.630420 / 0.692561 / 0.660031 |