Results 51 to 60 of about 60,919 (294)
Accurate baseball player pose refinement using motion prior guidance
Human 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
doaj +1 more source
Human Pose Estimation Using Deep Learning: A Systematic Literature Review
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
doaj +1 more source
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
Calibration-Free Shoulder Kinematics Using Single and Dual Asynchronous RGB-D Cameras
This 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
doaj +1 more source
Survey on Two-Dimensional Human Pose Estimation of Deep Learning
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
doaj +1 more source
Diversity and complexity in neural organoids
Neural organoid research aims to expand genetic diversity on one side and increase tissue complexity on the other. Chimeroids integrate multiple donor genomes within single organoids. Self‐organising multi‐identity organoids, exogenous cell seeding, or enforced assembly of region‐specific organoids contribute to tissue complexity.
Ilaria Chiaradia, Madeline A. Lancaster
wiley +1 more source
CSI-Former: Pay More Attention to Pose Estimation with WiFi
Cross-modal human pose estimation has a wide range of applications. Traditional image-based pose estimation will not work well in poor light or darkness.
Yue Zhou +5 more
doaj +1 more source
Human Pose Estimation in Stereo Images [PDF]
In this paper, we address the problem of 3D human body pose estimation from depth images acquired by a stereo camera. Compared to the Kinect sensor, stereo cameras work outdoors having a much higher operational range, but produce noisier data. In order to deal with such data, we propose a framework for 3D human pose estimation that relies on random ...
Joé Lallemand +2 more
openaire +1 more source
Filtered Pose Graph for Efficient Kinect Pose Reconstruction
Being marker-free and calibration free, Microsoft Kinect is nowadays widely used in many motion-based applications, such as user training for complex industrial tasks and ergonomics pose evaluation.
Pierre Plantard +6 more
core +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source

