In recent years, 3D skeleton‐based action recognition has become a popular technique of
action classification, thanks to development and availability of cheaper depth sensors. State …

Recognising human actions in untrimmed videos is an important challenging task. An
effective three‐dimensional (3D) motion representation and a powerful learning model are …

Recently introduced cost-effective depth sensors coupled with real-time skeleton extraction
algorithms have generated a renewed interest in skeleton-based human action recognition …

This paper presents a new representation of skeleton sequences for 3D action recognition.
Existing methods based on hand-crafted features or recurrent neural networks cannot …

In this paper, we present a new approach for human action recognition using 3 D skeleton
joints recovered from RGB-D cameras. We propose a descriptor based on differences of …

Over the last few decades, human action recognition has become one of the most
challenging tasks in the field of computer vision. Effortless and accurate extraction of 3D …

With the development of motion capture technologies, 3D action recognition has become a
popular task that finds great applicability in many areas, such as augmented reality, human …

In recent years, there has been a proliferation of works on human action classification from
depth sequences. These works generally present methods and/or feature representations …

Three-dimensional skeleton-based action recognition (3D SAR) has gained important
attention within the computer vision community, owing to the inherent advantages offered by …

Action recognition based on human skeleton structure represents nowadays a prosper
research field. This is mainly due to the recent advances in terms of capture technologies …