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Skeleton Based Action Recognition

Skeleton-based Action Recognition is a computer vision task that involves recognizing human actions from a sequence of 3D skeletal joint data captured from sensors such as Microsoft Kinect, Intel RealSense, and wearable devices. The goal of skeleton-based action recognition is to develop algorithms that can understand and classify human actions from skeleton data, which can be used in various applications such as human-computer interaction, sports analysis, and surveillance.

( Image credit: View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition )

Papers

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Showing 151–200 of 419 papers

TitleStatusHype
Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition NetworksCode0
Skeletal Human Action Recognition using Hybrid Attention based Graph Convolutional NetworkCode0
Skeleton-Based Action Recognition With Directed Graph Neural NetworksCode0
Spatial-Temporal Decoupling Contrastive Learning for Skeleton-based Human Action RecognitionCode0
Temporal-Channel Topology Enhanced Network for Skeleton-Based Action RecognitionCode0
Domain and View-point Agnostic Hand Action RecognitionCode0
Learning from Temporal Spatial Cubism for Cross-Dataset Skeleton-based Action RecognitionCode0
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action RecognitionCode0
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete SkeletonsCode0
Richly Activated Graph Convolutional Network for Robust Skeleton-based Action RecognitionCode0
RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in VideosCode0
DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action RecognitionCode0
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video SurveillanceCode0
PYSKL: a toolbox for skeleton-based video understandingCode0
Action Recognition with Multi-stream Motion Modeling and Mutual Information MaximizationCode0
PYSKL: Towards Good Practices for Skeleton Action RecognitionCode0
Relational Autoencoder for Feature ExtractionCode0
Joint Mixing Data Augmentation for Skeleton-based Action RecognitionCode0
Deep Learning for Hand Gesture Recognition on Skeletal DataCode0
Deep Independently Recurrent Neural Network (IndRNN)Code0
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action RecognitionCode0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
DeepGRU: Deep Gesture Recognition UtilityCode0
Joint-Partition Group Attention for skeleton-based action recognitionCode0
IoT-Based Real-Time Medical-Related Human Activity Recognition Using Skeletons and Multi-Stage Deep Learning for HealthcareCode0
Pose And Joint-Aware Action RecognitionCode0
Investigation of Different Skeleton Features for CNN-based 3D Action RecognitionCode0
Interpretable 3D Human Action Analysis with Temporal Convolutional NetworksCode0
In My Perspective, In My Hands: Accurate Egocentric 2D Hand Pose and Action RecognitionCode0
Part-based Graph Convolutional Network for Action RecognitionCode0
Actional-Structural Graph Convolutional Networks for Skeleton-based Action RecognitionCode0
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNNCode0
Cross-Model Cross-Stream Learning for Self-Supervised Human Action RecognitionCode0
Pyramid Self-attention Polymerization Learning for Semi-supervised Skeleton-based Action RecognitionCode0
Cross-modal Learning by Hallucinating Missing Modalities in RGB-D VisionCode0
Improving Skeleton-based Action Recognition with Interactive Object InformationCode0
NTU RGB+D: A Large Scale Dataset for 3D Human Activity AnalysisCode0
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural SearchingCode0
Non-Local Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
On Geometric Features for Skeleton-Based Action Recognition using Multilayer LSTM NetworksCode0
Idempotent Unsupervised Representation Learning for Skeleton-Based Action RecognitionCode0
A Comparative Review of Recent Kinect-based Action Recognition AlgorithmsCode0
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Convolutional Neural Networks on Graphs with Fast Localized Spectral FilteringCode0
Human Action Recognition by Representing 3D Skeletons as Points in a Lie GroupCode0
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognitionCode0
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action RecognitionCode0
High-Performance Inference Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Hierarchical Temporal Convolution Network:Towards Privacy-Centric Activity RecognitionCode0
Action Recognition in Real-World Ambient Assisted Living EnvironmentCode0
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