1. Week 5 Emily Hand UNR

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

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

4. Bad Results

5. Continue SVM

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

8. TLD Tracker

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

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