Semi-supervised classification of static canine postures using the Microsoft Kinect

A system capable of identifying static postures for canines that does not rely on hand-labeled data at any point during the process is presented, and a model of the canine is created based on measurements automatically obtained in from the first few captured frames, reducing the burden on users.