Action recognition using joint coordinates of 3D skeleton data

Abstract

We propose an action recognition technique using the 3D skeleton model of human without compromising the identity of the person. The skeleton model is defined as a set of 3D joint (e.g. knee or hip joint) coordinates obtained from the Kinect. The low frequency sensor noise in estimating the joint coordinates is removed after modeling the covariance matrix… (More)
DOI: 10.1109/ICIP.2015.7351578

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