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C++ implementation of the Tracking-Learning-Detection (TLD) algorithm by Yuxin Chen

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TLD

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.

Following is the performance evaluation on TLD dataset measured by Precision / Recall / F-measure.

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

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C++ implementation of the Tracking-Learning-Detection (TLD) algorithm by Yuxin Chen

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