Results 21 to 30 of about 55,209 (210)
A survey on monocular 3D human pose estimation
Recovering human pose from RGB images and videos has drawn increasing attention in recent years owing to minimum sensor requirements and applicability in diverse fields such as human-computer interaction, robotics, video analytics, and augmented reality.
Xiaopeng Ji +5 more
doaj +1 more source
Complex Human Pose Estimation via Keypoints Association Constraint Network
Human pose estimation has attracted enormous interest in the field of human action recognition. When the human pose is complex (such as pose distortion, pose reversal, etc.) or there is background interference (multi-target, shadow, etc.), the keypoints ...
Xuan Zhu +6 more
doaj +1 more source
Human-pose estimation based on weak supervision
Background: In computer vision, simultaneously estimating human pose, shape, and clothing is a practical issue in real life, but remains a challenging task owing to the variety of clothing, complexity of deformation, shortage of large-scale datasets, and
Xiaoyan Hu +3 more
doaj +1 more source
An Adaptive Viewpoint Transformation Network for 3D Human Pose Estimation
Human pose estimation from a monocular image has attracted lots of interest due to its huge potential application in many areas. The performance of 2D human pose estimation has been improved a lot with the emergence of deep convolutional neural network ...
Guoqiang Liang +3 more
doaj +1 more source
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 +3 more
doaj +1 more source
Action Recognition via Multi-View Perception Feature Tracking for Human–Robot Interaction
Human–Robot Interaction (HRI) depends on robust perception systems that enable intuitive and seamless interaction between humans and robots. This work introduces a multi-view perception framework designed for HRI, incorporating object detection and ...
Chaitanya Bandi, Ulrike Thomas
doaj +1 more source
In general, 3D human-pose estimation requires high-performance computing resources. Existing methods working on mobile devices trade off accuracy in return for increased efficiency, often making the estimation accuracy far from sufficient for developing ...
Hong Son Nguyen +4 more
doaj +1 more source
ABSTRACT Background Central nervous system (CNS) neuroblastoma, FOXR2‐activated, is a recently recognized entity in the WHO CNS5 classification, defined by activation of the FOXR2 transcription factor and unique histopathological features. This review synthesizes available literature and pooled clinical data, providing insight into demographics ...
Sudarshawn Damodharan +1 more
wiley +1 more source
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
ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita +5 more
wiley +1 more source

