Deep Convolutional Neural Networks for Human Action Recognition Using Depth Maps and Postures

摘要

In this paper, we present a method (Action-Fusion) for human action recognition from depth maps and posture data using convolutional neural networks (CNNs). Two input descriptors are used for action representation. The first input is a depth motion image