1. Week 6 University of Nevada, Reno
Emily Hand
Week 6
University of Nevada, Reno

2. GML Adaboost
Not Good
Not moving forward with this approach
The length of the feature vector must be less than the number of samples.
Samples
Features: HOG, LBP, 3DHistogram :(
We tried different features, but nothing good came from it.
Way too many false positives

3. False Positives

4. OpenTLD Detector
Extracting their detector much more complicated than we thought.
No documentation
A lot of pre-compiled mex files
Having issues with those

5. OpenTLD Detector Extracted their features :)
They resize each patch to [15 15] and then they reshape the patch to a column vector and normalize to zero mean unit variance (ZMUV).
ZMUV
Remove mean intensity value from an image and scale it with its variance

6. SVM Progress Histogram of Oriented Gradients (HOG)
Local Binary Pattern (LBP)
3D Histogram

7. Regular Histogram

8. More useful information
3D Histogram B G R
8x8x8 Bins
More useful information

9. Some Results

10. Some Results

11. Next Week
Motion Features
Partial Occlusions
Scale Changes