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Accurate baseball player pose refinement using motion prior guidance
ICT ExpressHuman pose estimation (HPE) is challenging due to the need to accurately capture rapid and occluded body movements, often resulting in uncertain predictions.
Seunghyun Oh, Heewon Kim
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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 +3 more
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It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data [PDF]
, 2018 We address the problem of 3D human pose estimation from 2D input images using only weakly supervised training data. Despite showing considerable success for 2D pose estimation, the application of supervised machine learning to 3D pose estimation in real ...
Eng, Robert +3 more
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Pose for Action - Action for Pose
, 2017 In this work we propose to utilize information about human actions to improve pose estimation in monocular videos. To this end, we present a pictorial structure model that exploits high-level information about activities to incorporate higher-order part ...
Gall, Juergen +2 more
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Robust recognition and segmentation of human actions using HMMs with missing observations [PDF]
, 2005 This paper describes the integration of missing observation data with hidden Markov models to create a framework that is able to segment and classify individual actions from a stream of human motion using an incomplete 3D human pose estimation.
Bui, Hung H. +3 more
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Scene-Aware Egocentric 3D Human Pose Estimation
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Egocentric 3D human pose estimation with a single head-mounted fisheye camera has recently attracted attention due to its numerous applications in virtual and augmented reality. Existing methods still struggle in challenging poses where the human body is highly occluded or is closely interacting with the scene. To address this issue, we propose a scene-
Wang, J. +5 more
openaire +3 more sources
FEBS Letters, EarlyView.The Ile181Asn variant of human UDP‐xylose synthase (hUXS1), associated with a short‐stature genetic syndrome, has previously been reported as inactive. Our findings demonstrate that Ile181Asn‐hUXS1 retains catalytic activity similar to the wild‐type but exhibits reduced stability, a looser oligomeric state, and an increased tendency to precipitate ...
Tuo Li +2 more
wiley +1 more source
Calibration-Free Shoulder Kinematics Using Single and Dual Asynchronous RGB-D Cameras
IEEE AccessThis study experimentally evaluates whether shoulder joint kinematics can be accurately reconstructed using calibration free asynchronous RGB-D cameras under rehabilitation relevant conditions.
Vytautas Abromavicius +5 more
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Survey on Two-Dimensional Human Pose Estimation of Deep Learning
Jisuanji kexue yu tansuo, 2021 In recent years, as a hot spot in the field of computer vision, human pose estimation has broad application prospects in video surveillance, human-computer interaction, and intelligent campus.
ZHOU Yan, LIU Ziqin, ZENG Fanzhi, ZHOU Yuexia, CHEN Jiawen, LUO Yue
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Learning Feature Pyramids for Human Pose Estimation
, 2017 Articulated human pose estimation is a fundamental yet challenging task in computer vision. The difficulty is particularly pronounced in scale variations of human body parts when camera view changes or severe foreshortening happens.
Li, Hongsheng +4 more
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