####Resources
- http://docs.opencv.org/doc/user_guide/ug_traincascade.html#
- http://coding-robin.de/2013/07/22/train-your-own-opencv-haar-classifier.html
- http://note.sonots.com/SciSoftware/haartraining.html#w0a08ab4
- "How many images do we need? The numbers depend on a variety of factors, including the quality of the images, the object you want to recognize, the method to generate the samples, the CPU power you have and probably some magic."
- http://www.technolabsz.com/2011/08/how-to-do-opencv-haar-training.html
- "It would be a great investigation for any future group to test the performance of the classifier using varying numbers of training images."
####Goals