Results 11 to 20 of about 55,209 (210)
Research Progress of Two-Dimensional Human Pose Estimation Based on Deep Learning [PDF]
Jisuanji gongcheng, 2021 The two-dimensional Human Pose Estimation(HPE) methods based on deep learning have attracted much attention for their application potential.The methods work by constructing a specific neural network architecture,and processing the extracted feature ...
LIU Yong, LI Jie, ZHANG Jianlin, XU Zhiyong, WEI Yuxing
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Pose ResNet: 3D Human Pose Estimation Based on Self-Supervision
Sensors, 2023 The accurate estimation of a 3D human pose is of great importance in many fields, such as human–computer interaction, motion recognition and automatic driving.
Wenxia Bao +4 more
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Exploring Rare Pose in Human Pose Estimation
IEEE Access, 2020 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.
Jihye Hwang, John Yang, Nojun Kwak
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Human Pose Estimation Using Thermal Images
IEEE Access, 2023 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 applied in ...
Javier Smith +2 more
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Fast and Lightweight Human Pose Estimation
IEEE Access, 2021 Although achieving significant improvement on pose estimation, the major drawback is that most top-performing methods tend to adopt complex architecture and spend large computational cost to achieve higher performance.
Haopan Ren +5 more
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Human pose estimation with heatmap-guided connection
Xi'an Gongcheng Daxue xuebao, 2021 Human pose estimation was an important direction in the field of computer vision, which is widely used in human activity recognition, human-computer interaction, etc, but the accuracy of human pose estimation methods is usually poor.
Wei WANG +3 more
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Self-Attention Network for Human Pose Estimation
Applied Sciences, 2021 Estimating the positions of human joints from monocular single RGB images has been a challenging task in recent years. Despite great progress in human pose estimation with convolutional neural networks (CNNs), a central problem still exists: the ...
Hailun Xia, Tianyang Zhang
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Applied Sciences, 2023 Human pose estimation refers to accurately estimating the position of the human body from a single RGB image and detecting the location of the body. It serves as the basis for several computer vision tasks, such as human tracking, 3D reconstruction, and ...
Chengpeng Duan +3 more
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Shift Pose: A Lightweight Transformer-like Neural Network for Human Pose Estimation
Sensors, 2022 High-performing, real-time pose detection and tracking in real-time will enable computers to develop a finer-grained and more natural understanding of human behavior. However, the implementation of real-time human pose estimation remains a challenge.
Haijian Chen, Xinyun Jiang, Yonghui Dai
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Deep probabilistic human pose estimation
IET Computer Vision, 2018 The authors consider the problem of human pose estimation using probabilistic convolutional neural networks. They explore ways to improve human pose estimation accuracy on standard pose estimation benchmarks MPII human pose and Leeds Sports Pose (LSP ...
Ilia Petrov +2 more
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