Better results for HOG

Finally was able to get the HOGDescriptor class to work in OpenCV. Something strange was happening when I was using the object detection debug library in OpenCV2.3. Once I switched it out with the release version, it stopped giving me errors.

We now have an all-time high HOG accuracy of 0.883295 (38.6/43.7).
After testing out with a few different parameters, we found that these worked best.

• Cell size = 8x8
• Block size = 3x3 (9 cells per block)
• number of bins = 7

Now to continue working on how to combine these with the improved color features.

Note*
Found out how to automate the "heat map" style confusion matrix in Excel. Will be using this as the standard format for confusion matrices from now on (even though there isn't much time left).