Results 1 to 10 of about 55,209 (210)

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
doaj   +2 more sources

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
doaj   +3 more sources

Comparative Analysis of Skeleton-Based Human Pose Estimation

Future Internet, 2022
Human pose estimation (HPE) has become a prevalent research topic in computer vision. The technology can be applied in many areas, such as video surveillance, medical assistance, and sport motion analysis. Due to higher demand for HPE, many HPE libraries
Jen-Li Chung, Lee-Yeng Ong, Meng-Chew Leow   +2 more
doaj   +3 more sources

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

Human Pose Estimation Using Deep Learning: A Systematic Literature Review

Machine Learning and Knowledge Extraction, 2023
Human Pose Estimation (HPE) is the task that aims to predict the location of human joints from images and videos. This task is used in many applications, such as sports analysis and surveillance systems.
Esraa Samkari, Muhammad Arif, Manal Alghamdi, Mohammed A. Al Ghamdi   +3 more
doaj   +3 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
doaj   +2 more sources

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
doaj   +3 more sources

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

PosturePose: Optimized Posture Analysis for Semi-Supervised Monocular 3D Human Pose Estimation

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
doaj   +1 more source

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, Jae-Han Lee, Chul Lee, Chang-Su Kim   +3 more
doaj   +1 more source