Example:
After collecting the data from Kinect, converted the image to HSV colorspace, set the Hue data as the Value data, and set Hue and Saturation as 0. The result: it makes some things visible that were invisible before.
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2) More data has been collected! The results in the next post were done with 100 positive and 300 negative examples. Slowly working my way up, think I am going to go towards 200 positive and 1000 negative (currently at 100/415). With 100 positive examples still don't feel like I have enough positive data.
3) To label positive examples I cropped out the regions from the top of the fingers (which ever finger was higher) to the bottom of the wrists.
Examples:
4) Tried multiple things. Well explain more the next post (the results post). The best working way (so far) has been to simply compare the darkness of two random pixels, then label this relationship as a 1, or -1 depending on which pixel is darker, or if they are the same then 0.
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