Week 5 Emily Hand UNR. AdaBoost For our previous detector, we used SVM.  Color Histogram We decided to try AdaBoost  Mean Blocks.

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Presentation transcript:

Week 5 Emily Hand UNR

AdaBoost For our previous detector, we used SVM.  Color Histogram We decided to try AdaBoost  Mean Blocks

Mean Blocks 8x8 pixel blocks inside of template  Take mean R, G, and B values for each block and make a feature vector

Bad Results

Continue SVM

New search area around detector Threshold for learning This is only with color histograms – We will use other features as well

TLD Tracker

Room for improvement. – Haar-like features – Adaboost Detector Problem with their detector  Strong detection far from the tracker may cause problems

Next Week Train with new features – Haar Features – LBP – HOG Optical Flow... Extract detector from TLD code