Human action recognition with deep learning techniques

With the development of closed-circuit television, video-based human motion recognition has made great progress. A large number of surveillance video footages have been archived. In this paper, we implement deep learning methods to resolve human action ...

In this paper we present a methodology for understanding human actions. We try to compensate for viewpoint changes, by applying geometric transformations to 3D skeletal joint information. More specifically, motion information regarding human skeletal ...

We propose in this paper a fully automated deep model, which learns to classify human actions without using any prior knowledge. The first step of our scheme, based on the extension of Convolutional Neural Networks to 3D, automatically learns spatio-...