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Exploring Rare Pose in Human Pose Estimation [PDF]
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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PosturePose: Optimized Posture Analysis for Semi-Supervised Monocular 3D Human Pose Estimation [PDF]
Sensors, 2023 One motivation for studying semi-supervised techniques for human pose estimation is to compensate for the lack of variety in curated 3D human pose datasets by combining labeled 3D pose data with readily available unlabeled video data—effectively ...
Lawrence Amadi, Gady Agam
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Monocular Human Depth Estimation Via Pose Estimation
IEEE Access, 2021 We propose a novel monocular depth estimator, which improves the prediction accuracy on human regions by utilizing pose information. The proposed algorithm consists of two networks — PoseNet and DepthNet — to estimate keypoint heatmaps and ...
Jinyoung Jun +3 more
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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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A Survey of the State of the Art in Monocular 3D Human Pose Estimation: Methods, Benchmarks, and Challenges [PDF]
SensorsThree-dimensional human pose estimation (3D HPE) from monocular RGB cameras is a fundamental yet challenging task in computer vision, forming the basis of a wide range of applications such as action recognition, metaverse, self-driving, and healthcare ...
Yan Guo +5 more
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ROM-Pose: restoring occluded mask image for 2D human pose estimation [PDF]
PeerJ Computer ScienceHuman pose estimation (HPE) is a field focused on estimating human poses by detecting key points in images. HPE includes methods like top-down and bottom-up approaches. The top-down approach uses a two-stage process, first locating and then detecting key
Yunju Lee, Jihie Kim
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Origin centric and part based pose decomposition for 3D human pose estimation [PDF]
Scientific ReportsTransformer-based approaches have recently made significant advancements in 3D human pose estimation from 2D inputs. Existing methods typically either consider the entire 2D skeleton for global features extraction or break it into independent parts for ...
Zhijie Lin +7 more
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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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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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