In this section, we briefly review the Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM) and the Graph Neural Network (GNN)., which is utilized in our framework. Model architecture In this paper, we propose an effective model for skeleton-based action recognition, which contains ...
We begin with a review of skeleton extraction, which is the basis of skeleton-based action recognition but is often over- looked in previous literature. We point out several aspects that should be considered when choosing a skeleton extrac- tor and motivate the use of 2D skeletons in Pose...
Artificial Intelligence Review - Human action recognition is one of the hottest topics in the research field, so there are many relevant review papers illustrating the multi-modality of data, the...Feng, LiqiCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing, China...
In recent years, with the development of deep learning technology, many novel skeleton-based human action recognition algorithms have been proposed, which has greatly promoted the development of this field. This paper aims to give a compr
In skeleton-based action recognition, graph convolutional networks (GCN) have been applied to extract features based on the dynamic of the human body and the method has achieved excellent results recently. However, GCN-based techniques only focus on the
Review of Image Classification Algorithms Based on Graph Convolutional Networks 2023, EAI Endorsed Transactions on AI and Robotics A graph-based edge attention gate medical image segmentation method 2023, IET Image Processing Fast Temporal Graph Convolutional Model for Skeleton-Based Action Recognition 2022...
In the field of skeleton-based action recognition, accurately recognizing human actions is crucial for applications such as virtual reality and motion analysis. However, this task faces challenges such intraindividual action differences and long-term temporal dependencies. To address these challenges, we...
personal interest of any nature or kind in any product, service and/or company that could be construed as influencing the position presented in, or the review of, the manuscript entitled “PA-GCN: Position-Aware Spatio-Temporal Graph Convolutional Networks for Skeleton-based Action Recognition.” ...
Semantic action recognition aims to classify actions based on the associated semantics, which can be applied in video captioning and human-machine interact... L Zhou,T Jiang - 《Iet Computer Vision》 被引量: 0发表: 2023年 A Review on Computer Vision-Based Methods for Human Action Recognition ...
Skeleton-based Human Keypoints Detection and Action Similarity Assessment for Fitness Assistance Note: We don't have the ability to review paper PubDate: January 2022 Teams: Chinese Academy of Sciences;Ningbo University of Technology Writers: Jiangkun Zhou; Wei Feng; Qujiang Lei; Xianyong Liu; ...