Results 21 to 30 of about 369,232 (279)
2D Human pose estimation: a survey
Multimedia Systems, 2022 Human pose estimation aims at localizing human anatomical keypoints or body parts in the input data (e.g., images, videos, or signals). It forms a crucial component in enabling machines to have an insightful understanding of the behaviors of humans, and has become a salient problem in computer vision and related fields.
Chen, Haoming +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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Fast Human Pose Estimation [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Existing human pose estimation approaches often only consider how to improve the model generalisation performance, but putting aside the significant efficiency problem. This leads to the development of heavy models with poor scalability and cost-effectiveness in practical use. In this work, we investigate the under-studied but practically critical pose
Zhang, Feng, Zhu, Xiatian, Ye, Mao
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Human Pose Co-Estimation and Applications [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Most existing techniques for articulated Human Pose Estimation (HPE)consider each person independently. Here we tackle the problem in a new setting,coined Human Pose Coestimation (PCE), where multiple people are in a common,but unknown pose. The task of PCE is to estimate their poses jointly and toproduce prototypes characterizing the shared pose ...
Eichner, M., Ferrari, V.
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IEEE Access, 2020 Human pose estimation localizes body keypoints to accurately recognizing the postures of individuals given an image. This step is a crucial prerequisite to multiple tasks of computer vision which include human action recognition, human tracking, human ...
Tewodros Legesse Munea +5 more
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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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Robust Estimation of 3D Human Poses from a Single Image [PDF]
, 2014 Human pose estimation is a key step to action recognition. We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose/joint detector.
Gao, Wen +4 more
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Evaluation of Camera Pose Estimation Using Human Head Pose Estimation
SN Computer Science, 2023 AbstractWe introduce and evaluate a novel camera pose estimation framework that uses the human head as a calibration object. The proposed method facilitates extrinsic calibration from 2D input images (NIR and/or RGB), while merely relying on the detected human head, without the need for depth information. The approach is applicable to single cameras or
Robert Fischer +2 more
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Swin-Pose: Swin Transformer Based Human Pose Estimation
2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022 Convolutional neural networks (CNNs) have been widely utilized in many computer vision tasks. However, CNNs have a fixed reception field and lack the ability of long-range perception, which is crucial to human pose estimation. Due to its capability to capture long-range dependencies between pixels, transformer architecture has been adopted to computer ...
Xiong, Zinan +4 more
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