SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–325 of 419 papers

TitleStatusHype
Learning stochastic differential equations using RNN with log signature features—0
SkeleMotion: A New Representation of Skeleton Joint Sequences Based on Motion Information for 3D Action RecognitionCode0
Make Skeleton-based Action Recognition Model Smaller, Faster and BetterCode1
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal AttentionCode0
Spatiotemporal graph routing for skeleton-based action recognition—0
Learning Shape-Motion Representations from Geometric Algebra Spatio-Temporal Model for Skeleton-Based Action Recognition—0
Non-Local Graph Convolutional Networks for Skeleton-Based Action RecognitionCode0
A Comparative Review of Recent Kinect-based Action Recognition AlgorithmsCode0
Three-Stream Convolutional Neural Network With Multi-Task and Ensemble Learning for 3D Action Recognition—0
Skeleton-Based Action Recognition With Directed Graph Neural NetworksCode0
PA3D: Pose-Action 3D Machine for Video Recognition—0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete SkeletonsCode0
Towards a Skeleton-Based Action Recognition For Realistic Scenarios—0
Actional-Structural Graph Convolutional Networks for Skeleton-based Action RecognitionCode0
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition—0
Simple yet efficient real-time pose-based action recognitionCode0
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action RecognitionCode0
Multigrid Predictive Filter Flow for Unsupervised Learning on VideosCode0
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection—0
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition—0
Simplifying Graph Convolutional NetworksCode1
Skeleton-Based Online Action Prediction Using Scale Selection Network—0
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition—0
Skeleton-based Action Recognition of People Handling Objects—0
Show:102550
← PrevPage 13 of 17Next →

No leaderboard results yet.