Depth image hand tracking from an overhead perspective using partially labeled, unbalanced data: Development and real-world testing

6 Sep 2014 Stephen Czarnuch Alex Mihailidis

We present the development and evaluation of a hand tracking algorithm based on single depth images captured from an overhead perspective for use in the COACH prompting system. We train a random decision forest body part classifier using approximately 5,000 manually labeled, unbalanced, partially labeled training images... (read more)

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