etc.Previous research on action recognition has mainly focused on video or RGB data methods.In recent years,the advantages of combining skeleton data and deep learning have been gradually demonstrated,many impressive methods have been proposed,especially GCN‐based methods.In this survey,we first ...
【论文笔记】2020行为识别综述A Survey on 3D Skeleton-Based Action Recognition Using Learning Method,程序员大本营,技术文章内容聚合第一站。
A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks 2023, IEEE Transactions on Cybernetics Graph Convolutional Neural Network for Human Action Recognition: A Comprehensive Survey 2021, IEEE Transactions on Artificial Intelligence ...
Skeleton-based Human Action Recognition (SHAR) is one of the most trending research topics in computer vision, which relies on the investigation of multi-modal data acquired from different sensory devices. Due to its faster execution speed, skeleton-base
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...
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
详见3D Skeleton-based Human Action Classification: a Survey 数据预处理: In 3D skeleton-based action classification, an action is described as a collection of time series of 3D positions (i.e., 3D trajecto...
论文翻译:Two-Stream 3D Convolutional Neural Network for Human Skeleton-Based Action Recognition 摘要:在三维人体动作识别中,如何有效地从骨骼序列中提取时空信息仍然是一个挑战。虽然最近的动作识别方法是基于递归神经网络的,表现出了突出的性能,但这些方法的缺点之一是倾向于过分强调时间信息。由于三维卷积神经网络(...
The spatial structure of the human skeleton is also an important clue for human action recognition, while the temporal model can provide dynamics information of human action. With the development of deep learning, Convolutional Neural Networks (CNN) and Long Short Term Memory (LSTM) -based ...
Skeleton-based action recognition has drawn much attention recently. Previous methods mainly focus on using RNNs or CNNs to process skeletons. But they ignore the topological structure of the skeleton which is very important for action recognition. Recen