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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 301–325 of 419 papers

TitleStatusHype
Deep Independently Recurrent Neural Network (IndRNN)Code0
Symbiotic Graph Neural Networks for 3D Skeleton-based Human Action Recognition and Motion Prediction—0
Bayesian Graph Convolution LSTM for Skeleton Based Action Recognition—0
Learning Coupled Spatial-temporal Attention for Skeleton-based Action Recognition—0
Making the Invisible Visible: Action Recognition Through Walls and Occlusions—0
Adversarial Attack on Skeleton-based Human Action Recognition—0
MLGCN: Multi-Laplacian Graph Convolutional Networks for Human Action Recognition—0
Skeleton Image Representation for 3D Action Recognition based on Tree Structure and Reference JointsCode0
EleAtt-RNN: Adding Attentiveness to Neurons in Recurrent Neural Networks—0
Learning Latent Global Network for Skeleton-based Action Prediction—0
Graph Based Skeleton Modeling for Human Activity Analysis—0
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
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
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
PA3D: Pose-Action 3D Machine for Video Recognition—0
Skeleton-Based Action Recognition With Directed Graph Neural NetworksCode0
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
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