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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
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition—0
Spatiotemporal Decouple-and-Squeeze Contrastive Learning for Semi-Supervised Skeleton-based Action Recognition—0
Spatio-Temporal Dual Affine Differential Invariant for Skeleton-based Action Recognition—0
SpatioTemporal Focus for Skeleton-based Action Recognition—0
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition—0
Spatiotemporal graph routing for skeleton-based action recognition—0
A Large-scale Varying-view RGB-D Action Dataset for Arbitrary-view Human Action Recognition—0
Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition—0
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition—0
Including Semantic Information via Word Embeddings for Skeleton-based Action Recognition—0
Vertex Feature Encoding and Hierarchical Temporal Modeling in a Spatial-Temporal Graph Convolutional Network for Action Recognition—0
Improving Skeleton-based Action Recognitionwith Robust Spatial and Temporal Features—0
A Fine-to-Coarse Convolutional Neural Network for 3D Human Action Recognition—0
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation—0
STAR-Net: Action Recognition using Spatio-Temporal Activation Reprojection—0
IIP-Transformer: Intra-Inter-Part Transformer for Skeleton-Based Action Recognition—0
Joint Action Recognition and Pose Estimation From Video—0
AFE-CNN: 3D Skeleton-based Action Recognition with Action Feature Enhancement—0
Joint-bone Fusion Graph Convolutional Network for Semi-supervised Skeleton Action Recognition—0
Jointly learning heterogeneous features for rgb-d activity recognition—0
3Mformer: Multi-order Multi-mode Transformer for Skeletal Action Recognition—0
Adversarial Bone Length Attack on Action Recognition—0
Joint Temporal Pooling for Improving Skeleton-based Action Recognition—0
JOLO-GCN: Mining Joint-Centered Light-Weight Information for Skeleton-Based Action Recognition—0
KShapeNet: Riemannian network on Kendall shape space for Skeleton based Action Recognition—0
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