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Published in 2021 at "Journal of Real-Time Image Processing"
DOI: 10.1007/s11554-020-01025-3
Abstract: Most existing methods pay much attention to how to improve the accuracy of human pose estimation results. They usually ignore what the size of their model is. However, besides accuracy, real-time and speed are also…
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Keywords:
human pose;
network;
pose estimation;
connected residual ... See more keywords
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Published in 2021 at "International Journal of Industrial Ergonomics"
DOI: 10.1016/j.ergon.2021.103164
Abstract: Abstract Observational ergonomic postural assessment methods have been commonly used to evaluate the risks of musculoskeletal disorders. Researchers have proposed semi-automatic methods using Kinect, known for limitations with body occlusions and non-frontal tracking. Meanwhile, new…
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Keywords:
pose estimation;
ergonomic postural;
open source;
postural assessment ... See more keywords
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Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.137
Abstract: Abstract In exemplar-based approaches, human pose estimation is achieved by retrieving relevant poses with images. Therefore, image description is critical and it is common to extract multiple features to better describe the visual input data.…
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Keywords:
human pose;
spectral embedding;
sparse spectral;
exemplar based ... See more keywords
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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.05.034
Abstract: Abstract 3D human pose estimation from 2D joints of an image is a worthwhile and challenging research topic. Since a specific 2D pose could be projected from various 3D poses, the ambiguity becomes a difficult…
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Keywords:
pose estimation;
human pose;
image;
estimation ... See more keywords
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Published in 2019 at "AIP Advances"
DOI: 10.1063/1.5080207
Abstract: Human pose estimation has broad application prospects in the fields of human behavior recognition and human-computer interaction. Although the current human pose estimation methods have made tremendous progress, the partial occlusion of human bodies still…
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Keywords:
hard joints;
joints mining;
human pose;
based generative ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3004937
Abstract: Recently, with the growing popularity of Convolutional Neural Networks (CNN), major progress has been made in human pose estimation. However, due to the lack of consideration of human body structure, the current methods still suffer…
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Keywords:
parsing information;
pose estimation;
structure;
human pose ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3013917
Abstract: Human pose estimation from a monocular image has attracted lots of interest due to its huge potential application in many areas. The performance of 2D human pose estimation has been improved a lot with the…
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Keywords:
estimation;
human pose;
pose estimation;
transformation ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3033531
Abstract: We tackle the issue of data imbalance between different poses in the human pose estimation problem. We explore unusual poses that are rare which occupy a small portion in a pose dataset. In order to…
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Keywords:
rare pose;
human pose;
exploring rare;
pose estimation ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3244017
Abstract: In this paper, we propose a human pose estimation algorithm for an impulse radio ultra-wideband (IR-UWB) radar based on the transformer-based deep learning model. We have built an IR-UWB radar system with an 8-by-8 multiple-input…
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Keywords:
pose estimation;
uwb radar;
human pose;
radar ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3258417
Abstract: The modeling of human body kye-points is the most significant aspect of pose estimation appropriately. Computer vision algorithm identifies human pose, body-movement, and action in many ways. Most of the previous works taken advantage for…
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Keywords:
network;
pose estimation;
human pose;
intensive feature ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3264714
Abstract: This study addresses the human pose estimation problem on thermal images using Convolutional Neural Networks and Vision Transformer architectures. To do this, eight human pose estimation methods designed for visible images were extended to be…
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Keywords:
thermal domain;
thermal images;
pose estimation;
human pose ... See more keywords