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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
doaj   +3 more sources

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, Vlad Shakhuro, Anton Konushin   +2 more
doaj   +3 more sources

CDO-POSE: A Lightweight Model for 2D Human Pose Estimation [PDF]

Sensors
Human pose estimation (HPE) aims to localize human keypoints from visual inputs, which faces persistent challenges in balancing high accuracy with computational efficiency in resource constrained and real-time scenarios.
Haifeng Xu, Jingke Chen, Shuhan Cai, Jiangling Guo   +3 more
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The Progress of Human Pose Estimation: A Survey and Taxonomy of Models Applied in 2D Human Pose Estimation

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, Yalew Zelalem Jembre, Halefom Tekle Weldegebriel, Longbiao Chen, Chenxi Huang, Chenhui Yang   +5 more
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Fast and Lightweight Human Pose Estimation [PDF]

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, Wenming Wang, Kaixiang Zhang, Dejian Wei, Yanyan Gao, Yue Sun   +5 more
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A Survey of the State of the Art in Monocular 3D Human Pose Estimation: Methods, Benchmarks, and Challenges [PDF]

Sensors
Three-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, Tianhan Gao, Aoshuang Dong, Xinbei Jiang, Zichen Zhu, Fuxin Wang   +5 more
doaj   +2 more sources

PhysAstro-Pose: Physics-Inspired Semi-Supervised Human Pose Estimation in Microgravity Environments [PDF]

Sensors
Human pose estimation in orbit is critical for astronaut health monitoring, task assistance, and intelligent human–robot interaction aboard space stations.
Youhui Cui, Zhang Zhang, Liang Chang
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Unified End-to-End YOLOv5-HR-TCM Framework for Automatic 2D/3D Human Pose Estimation for Real-Time Applications

Sensors, 2022
Three-dimensional human pose estimation is widely applied in sports, robotics, and healthcare. In the past five years, the number of CNN-based studies for 3D human pose estimation has been numerous and has yielded impressive results.
Hung-Cuong Nguyen, Thi-Hao Nguyen, Rafal Scherer, Van-Hung Le   +3 more
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ROM-Pose: restoring occluded mask image for 2D human pose estimation [PDF]

PeerJ Computer Science
Human 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 Reports
Transformer-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, Jinxin Yao, Juan Huang, Jingjing Chen, Yingying Xu, Lu Yang, Lei Zhao, Wei Xing   +7 more
doaj   +2 more sources