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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 126–150 of 419 papers

TitleStatusHype
Relational Autoencoder for Feature ExtractionCode0
RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in VideosCode0
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action RecognitionCode0
Pyramid Self-attention Polymerization Learning for Semi-supervised Skeleton-based Action RecognitionCode0
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep NetworksCode0
Finding Action TubesCode0
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action RecognitionCode0
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video SurveillanceCode0
Expressive Keypoints for Skeleton-based Action Recognition via Skeleton TransformationCode0
Part-based Graph Convolutional Network for Action RecognitionCode0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM NetworksCode0
On Geometric Features for Skeleton-Based Action Recognition using Multilayer LSTM NetworksCode0
NTU RGB+D: A Large Scale Dataset for 3D Human Activity AnalysisCode0
Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-SupervisionCode0
Balanced Representation Learning for Long-tailed Skeleton-based Action RecognitionCode0
Pose And Joint-Aware Action RecognitionCode0
AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture SearchCode0
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action RecognitionCode0
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Attack-Augmentation Mixing-Contrastive Skeletal Representation LearningCode0
Multi-scale spatial–temporal convolutional neural network for skeleton-based action recognitionCode0
Do You Act Like You Talk? Exploring Pose-based Driver Action Classification with Speech Recognition NetworksCode0
Non-Local Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Domain and View-point Agnostic Hand Action RecognitionCode0
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