Triplet attention multiple spacetime-semantic graph convolutional network for skeleton-based action recognition
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02370-x
Abstract: Skeleton-based action recognition has recently attracted widespread attention in the field of computer vision. Previous studies on skeleton-based action recognition are susceptible to interferences from redundant video frames in judging complex actions but ignore the… read more here.
Keywords: action recognition; spacetime semantic; attention; skeleton based ... See more keywords
Convolutional relation network for skeleton-based action recognition
Sign Up to like & getrecommendations! Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.08.043
Abstract: Abstract In the skeleton-based action recognition, mining information from the joints and limbs of human skeletons plays a key role. Previous studies treated the skeleton data as vectors and could not explicitly capture the joint… read more here.
Keywords: action recognition; skeleton based; network; skeleton ... See more keywords
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.148
Abstract: Abstract This paper focus on analyzing graph connection of human joints for skeleton based video anomaly detection, which is more effective and efficient than those image-level reconstruction based or prediction based methods that may be… read more here.
Keywords: skeleton based; video anomaly; anomaly detection; based video ... See more keywords
Skeleton-based shape similarity.
Sign Up to like & getrecommendations! Published in 2023 at "Psychological review"
DOI: 10.1037/rev0000412
Abstract: Many aspects of visual perception, including the classification of shapes into known categories and the induction of new shape categories from examples, are driven by shape similarity. But there is as yet no generally agreed,… read more here.
Keywords: shape similarity; similarity; skeleton based; measure ... See more keywords
An efficient self-attention network for skeleton-based action recognition
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DOI: 10.1038/s41598-022-08157-5
Abstract: There has been significant progress in skeleton-based action recognition. Human skeleton can be naturally structured into graph, so graph convolution networks have become the most popular method in this task. Most of these state-of-the-art methods… read more here.
Keywords: action recognition; skeleton based; based action; skeleton ... See more keywords
Image Skeleton and GA Based Tool Selection for 2 1/2-Axis Rough Milling
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DOI: 10.1109/access.2018.2842091
Abstract: In the milling process, large tool diameter can get higher rigid and machining efficiency. To improve machining efficiency for 2 1/2-axis part, an image skeleton-based method is proposed in this paper. First, a rasterization-based method… read more here.
Keywords: skeleton based; image; image skeleton; tool selection ... See more keywords
Skeleton-Based Square Grid for Human Action Recognition With 3D Convolutional Neural Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3059650
Abstract: Convolutional neural networks (CNNs) can effectively handle grid-structured data but not dynamic skeletons, which are usually expressed as graph structures. In this study, we first propose a skeleton-based square grid (SSG) for transforming dynamic skeletons… read more here.
Keywords: square grid; action recognition; based square; skeleton based ... See more keywords
Pose-Guided Graph Convolutional Networks for Skeleton-Based Action Recognition
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DOI: 10.1109/access.2022.3214812
Abstract: Graph convolutional networks (GCN), which can model the human body skeletons as spatial and temporal graphs, have shown remarkable potential in skeleton-based action recognition. However, in the existing GCN-based methods, graph-structured representation of the human… read more here.
Keywords: graph convolutional; action recognition; convolutional networks; action ... See more keywords
Fully Attentional Network for Skeleton-Based Action Recognition
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3247840
Abstract: With the extraordinary ability by representing human body structure as a spatial graph, graph convolution networks (GCNs) have progressed much in skeleton-based action recognition. However, these methods usually use a predefined graph to represent human… read more here.
Keywords: action recognition; graph; action; based action ... See more keywords
A Comprehensive Survey of RGB-Based and Skeleton-Based Human Action Recognition
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DOI: 10.1109/access.2023.3282311
Abstract: With the advancement of computer vision, human action recognition (HAR) has shown its broad research worth and application prospects in a wide range of fields such as intelligent security, automatic driving and human-machine interaction. Based… read more here.
Keywords: rgb based; skeleton based; skeleton; action recognition ... See more keywords
MTT: Multi-Scale Temporal Transformer for Skeleton-Based Action Recognition
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3142675
Abstract: In the task of skeleton-based action recognition, long-term temporal dependencies are significant cues for sequential skeleton data. State-of-the-art methods rarely have access to long-term temporal information, due to the limitations of their receptive fields. Meanwhile,… read more here.
Keywords: multi scale; action recognition; action; skeleton ... See more keywords