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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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3D Human Pose Estimation = 2D Pose Estimation + Matching [PDF]
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 Demo code: https://github.com/flyawaychase ...
Chen, Ching-Hang, Ramanan, Deva
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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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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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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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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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