Results 31 to 40 of about 7,670,054 (285)
Whole and Part Adaptive Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
Sensors, 2020 Spatiotemporal graph convolution has made significant progress in skeleton-based action recognition in recent years. Most of the existing graph convolution methods take all the joints of the human skeleton as the overall modeling graph, ignoring the ...
Qi Zuo +5 more
doaj +1 more source
IEEE Access, 2022 Skeleton-based Graph Convolutional Networks (GCN) for human action and interaction recognition have received considerable attention of researchers due to its compact and view-invariant nature of skeleton data.
Quanyu Wang +2 more
doaj +1 more source
Human Skeleton Data Augmentation for Person Identification over Deep Neural Network
Applied Sciences, 2020 With the advancement in pose estimation techniques, skeleton-based person identification has recently received considerable attention in many applications.
Beom Kwon, Sanghoon Lee
doaj +1 more source
Skeleton-Based Action Recognition With Low-Level Features of Adaptive Graph Convolutional Networks
IEEE Access, 2021 Skeleton-based action recognition is a typical classification problem which plays a significant role in human-computer interaction and video understanding. Since a human skeleton has natural graphic features, methods based on graph convolutional networks
Jialin Gang +3 more
doaj +1 more source
Multi-Scale Adaptive Aggregate Graph Convolutional Network for Skeleton-Based Action Recognition
Applied Sciences, 2022 Skeleton-based human action recognition has attracted extensive attention due to the robustness of the human skeleton data in the field of computer vision.
Zhiyun Zheng +3 more
doaj +1 more source
An adaptively multi-correlations aggregation network for skeleton-based motion recognition
Scientific Reports, 2023 Previous work based on Graph Convolutional Networks (GCNs) has shown promising performance in 3D skeleton-based motion recognition. We believe that the 3D skeleton-based motion recognition problem can be explained as a modeling task of dynamic skeleton ...
Xinpeng Yin +3 more
doaj +1 more source
A Novel Two-Stream Transformer-Based Framework for Multi-Modality Human Action Recognition
Applied Sciences, 2023 Due to the great success of Vision Transformer (ViT) in image classification tasks, many pure Transformer architectures for human action recognition have been proposed.
Jing Shi +5 more
doaj +1 more source
GCN-Former: A Method for Action Recognition Using Graph Convolutional Networks and Transformer
Applied SciencesSkeleton-based action recognition, which aims to classify human actions through the coordinates of body joints and their connectivity, is a significant research area in computer vision with broad application potential.
Xueshen Cui +4 more
doaj +1 more source
The Oldoway Human Skeleton [PDF]
Nature, 1931 THE announcement by Mr. Leakey and his colleagues1 that, in their considered opinion, the Oldoway human skeleton found by Prof. Hans Reck in Tanganyika Territory, in 1913, appears to be of late Kenya Chellean or Kenya Acheulean age, is of outstanding interest.
openaire +1 more source
Applied Sciences, 2021 Human activity recognition has become a significant research trend in the fields of computer vision, image processing, and human–machine or human–object interaction due to cost-effectiveness, time management, rehabilitation, and the pandemic of diseases.
Nusrat Tasnim +2 more
doaj +1 more source