1) Figure out a better way to parse the data from Kinect in a more consistent fashion.
2) Get more, better data.
Microsoft uses a million images for three trees. (http://research.microsoft.com/pubs/145347/BodyPartRecognition.pdf)
Go up to 100 positive and 500 negative examples for now.
3) Better, more consistent way of labeling positive examples. Probably something like:
or
4) Try random lines, try Viola-Jones style, try other things!
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