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Segment differential aggregation representation and supervised compensation learning of ConvNets for human action recognition
With more multi-modal data available for visual classification tasks, human action recognition has become an increasingly attractive topic. However,...
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An optimization method of human skeleton keyframes selection for action recognition
In the action recognition field based on the characteristics of human skeleton joint points, the selection of keyframes in the skeleton sequence is a...
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Intelligent attendance monitoring system with spatio-temporal human action recognition
This paper proposes an intelligent attendance monitoring system based on spatio-temporal human action recognition, which includes human skeleton gait...
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Various frameworks for integrating image and video streams for spatiotemporal information learning employing 2D–3D residual networks for human action recognition
Human action recognition has been identified as an important research topic in computer vision because it is an essential form of communication and...
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Tensor discriminant analysis on grassmann manifold with application to video based human action recognition
Representing videos as linear subspaces on Grassmann manifolds has made great strides in action recognition problems. Recent studies have explored...
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Human Action Recognition Research Based on Fusion TS-CNN and LSTM Networks
Human action recognition (HAR) technology is currently of significant interest. The traditional HAR methods depend on the time and space of the video...
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Dual-attention Network for View-invariant Action Recognition
View-invariant action recognition has been widely researched in various applications, such as visual surveillance and human–robot interaction....
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Human Action Recognition Based on Body Shape and Orbicular Grid
Proliferation of online images, the recognition of human actions within still images has emerged as a prevalent research area within the realm of...
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Integrating Vision Transformer-Based Bilinear Pooling and Attention Network Fusion of RGB and Skeleton Features for Human Action Recognition
In this paper, we propose VT-BPAN, a novel approach that combines the capabilities of Vision Transformer (VT), bilinear pooling, and attention...
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Automatically human action recognition (HAR) with view variation from skeleton means of adaptive transformer network
Human action recognition using skeletons has become increasingly appealing to a growing number of researchers in recent years. It is particularly...
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Towards efficient video-based action recognition: context-aware memory attention network
AbstractGiven the prevalence of surveillance cameras in our daily lives, human action recognition from videos holds significant practical...
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Skeleton-Based Action and Gesture Recognition for Human-Robot Collaboration
Human action recognition plays a major role in enabling an effective and safe collaboration between humans and robots. Considering for example a...
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Supernode Fusion Model Based on Bimodal Action Recognition
Skeleton action recognition based on graph convolutional neural networks (GCNs) has become a hot research topic in recent years. Existing graph...
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A Global Correlation Action Recognition Framework Using WiFi Signal-Based DenseNet
Intelligent human perception has promoted the development of Internet of Things, and privacy issues have also emerged. Human action recognition based...
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Direction-guided two-stream convolutional neural networks for skeleton-based action recognition
In skeleton-based action recognition, treating skeleton data as pseudoimages using convolutional neural networks (CNNs) has proven to be effective....
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Domain adaptation with optimized feature distribution for streamer action recognition in live video
Since the large-scale annotation of streamer actions is expensive, training with generic action data is a practical approach. Nevertheless, the...
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Open-Set Human Micro-doppler Action Recognition by Extreme Value Theory
In this paper, an open-set radar micro-Doppler human action recognition method based on extreme value theory is proposed, which aims to solve the...
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Wavelet-Based Gesture Recognition Method for Human-Machine Interaction in Aviation
Human-machine interaction (HMI) has been an important research area in many scientific fields for many years with the development of sensor...
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A review on action recognition for accident detection in smart city transportation systems
Accident detection and public traffic safety is a crucial aspect of safe and better community. Monitoring traffic flow in smart cities using...
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Skeleton-based human action recognition with sequential convolutional-LSTM networks and fusion strategies
Human action recognition from skeleton data has drawn a lot of attention from researchers due to the availability of thousands of real videos with...
