Abstract: In this paper we present an approach for the recognition of human actions which is based on a deep Convolutional Neural Network architecture.

PDF | On Sep 1, 2019, Antonios Papadakis and others published A Geometric Approach for Cross-View Human Action Recognition using Deep Learning | Find, read and

3D skeletal joint information is used to create 2D (image) representations which are transformed to the spectral domain using well-known transforms based on ...

Abstract—In this paper we present an approach for the recog- nition of human actions which is based on a deep Convolutional. Neural Network architecture.

In this article, a hierarchical method for action recognition based on temporal and spatial features is proposed.

We propose a view-invariant deep human action recognition framework, which is a novel integration of two important action cues: motion and shape temporal ...

We present a method for view-invariant action recognition from depth cameras based on graph signal processing techniques. Our framework leverages a novel ...

Jun 30, 2020 · In this paper we present a methodology for understanding human actions. We try to compensate for viewpoint changes, by applying geometric ...

In this work, we propose a Cross-view Contrastive. Learning framework for unsupervised 3D skeleton-based action Representation (CrosSCLR), by leveraging ...

In contrast, our work extends geometric features to action recognition via deep learning ... View invariant human action recognition using histograms of 3D joints ...