Human Pose Estimation
CMPS161 Winter 2016
Sam Song and Victor Vahram Shahbazian
Abstract
For the first time in history, through the advancements of AR technology, it is now possible to track and understand objects in real space using a Tango enabled Android device. For the purpose of simplicity, this project focuses primarily on tracking and understanding human poses by training a machine learning algorithm to understand what shapes in real space are human.
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