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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 351–375 of 419 papers

TitleStatusHype
Deep Progressive Reinforcement Learning for Skeleton-Based Action Recognition—0
PoTion: Pose MoTion Representation for Action Recognition—0
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition—0
Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition—0
Deep Learning for Hand Gesture Recognition on Skeletal DataCode0
Relational Network for Skeleton-Based Action Recognition—0
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning—0
Object Activity Scene Description, Construction and Recognition—0
Unsupervised representation learning with long-term dynamics for skeleton based action recognition—0
Memory Attention Networks for Skeleton-based Action RecognitionCode0
View Adaptive Neural Networks for High Performance Skeleton-based Human Action RecognitionCode0
Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNNCode0
Learning clip representations for skeleton-based 3d action recognition—0
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition—0
Glimpse Clouds: Human Activity Recognition from Unstructured Feature PointsCode0
Relational Autoencoder for Feature ExtractionCode0
Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences—0
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition—0
D numbers theory based game-theoretic framework in adversarial decision making under fuzzy environment—0
Action-Attending Graphic Neural Network—0
3D CNNs on Distance Matrices for Human Action RecognitionCode0
Adaptive RNN Tree for Large-Scale Human Action Recognition—0
RPAN: An End-to-End Recurrent Pose-Attention Network for Action Recognition in VideosCode0
Ensemble Deep Learning for Skeleton-Based Action Recognition Using Temporal Sliding LSTM NetworksCode0
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