Feb 6, 2017 · Abstract: Human action recognition is an important computer vision research area, which is helpful in umpteen applications.

Nov 1, 2022 · This work is the first survey covering traditional methods of action recognition, RGB-based end-to-end action recognition method, pose estimation, and skeleton ...

In this paper, we propose an approach to recognize human actions by the fusion of RGB and Depth data.

The goal of this paper is to evaluate descriptors which have recently been used in action recognition, namely Histogram of Oriented Gradient (HOG) and Histogram ...

This review is aimed to scope current literature on data fusion and action recognition techniques and to identify gaps and future research direction.

In this study, we proposed a method that recognizes human actions using an RGB camera instead of a Kinect camera that can be applied to a mobile robot platform.

This paper aims at classifying Human Actions by integrating salient motion features from both RGB and Depth Camera.

Jan 7, 2021 · This paper makes full use of video and deep skeleton data and proposes an RGB-D action recognition based two-stream network (SV-GCN).

Apr 4, 2023 · We present a deep learning based algorithm for human action recognition for both RGB and thermal cameras. It is able to detect and track humans and recognize ...

This paper uses the Spatio-Temporal Interest Point (STIP) for detection of the important change in the image and extracts appearance and motion features of ...