Results 41 to 50 of about 371,934 (280)
IEEE Access, 2023 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
An Adaptive Viewpoint Transformation Network for 3D Human Pose Estimation
IEEE Access, 2020 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
Human-pose estimation based on weak supervision
Virtual Reality & Intelligent Hardware, 2023 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
Learning to Refine Human Pose Estimation
, 2018 Multi-person pose estimation in images and videos is an important yet challenging task with many applications. Despite the large improvements in human pose estimation enabled by the development of convolutional neural networks, there still exist a lot of
Fieraru, Mihai +3 more
core +1 more source
Action Recognition via Multi-View Perception Feature Tracking for Human–Robot Interaction
RoboticsHuman–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
Human Pose Estimation using Deep Consensus Voting
, 2016 In this paper we consider the problem of human pose estimation from a single still image. We propose a novel approach where each location in the image votes for the position of each keypoint using a convolutional neural net.
DH Ballard +7 more
core +1 more source
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 +2 more
doaj +1 more source
Evaluation of Deep Learning based Pose Estimation for Sign Language Recognition
, 2016 Human body pose estimation and hand detection are two important tasks for systems that perform computer vision-based sign language recognition(SLR). However, both tasks are challenging, especially when the input is color videos, with no depth information.
Chen X. +5 more
core +1 more source
Self Adversarial Training for Human Pose Estimation
, 2017 This paper presents a deep learning based approach to the problem of human pose estimation. We employ generative adversarial networks as our learning paradigm in which we set up two stacked hourglass networks with the same architecture, one as the ...
arjovsky +27 more
core +1 more source
FEBS Letters, EarlyView.Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho +3 more
wiley +1 more source