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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 326–350 of 419 papers

TitleStatusHype
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
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
Motion feature augmented network for dynamic hand gesture recognition from skeletal data—0
Graph Neural Networks with convolutional ARMA filtersCode0
Cross-modal Learning by Hallucinating Missing Modalities in RGB-D VisionCode0
Action Machine: Rethinking Action Recognition in Trimmed Videos—0
Structure-Aware Convolutional Neural NetworksCode0
Optimized Skeleton-based Action Recognition via Sparsified Graph Regression—0
Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation—0
Skeleton-Based Action Recognition with Synchronous Local and Non-local Spatio-temporal Learning and Frequency Attention—0
DeepGRU: Deep Gesture Recognition UtilityCode0
Part-based Graph Convolutional Network for Action RecognitionCode0
Neural Graph Matching Networks for Fewshot 3D Action Recognition—0
Early action prediction by soft regression—0
Adding Attentiveness to the Neurons in Recurrent Neural Networks—0
Tracking Emerges by Colorizing VideosCode0
Pose Encoding for Robust Skeleton-Based Action Recognition—0
Recognizing Human Actions as the Evolution of Pose Estimation Maps—0
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