Results 31 to 40 of about 369,232 (279)
EM-POSE: 3D Human Pose Estimation from Sparse Electromagnetic Trackers [PDF]
2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Kaufmann, Manuel; id_orcid0000-0001-5309-319X +7 more
openaire +2 more sources
Sensors, 2022 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
PifPaf: Composite Fields for Human Pose Estimation [PDF]
, 2019 We propose a new bottom-up method for multi-person 2D human pose estimation that is particularly well suited for urban mobility such as self-driving cars and delivery robots.
Alahi, Alexandre +2 more
core +2 more sources
DeepPose: Human Pose Estimation via Deep Neural Networks [PDF]
, 2014 We propose a method for human pose estimation based on Deep Neural Networks (DNNs). The pose estimation is formulated as a DNN-based regression problem towards body joints.
Szegedy, Christian, Toshev, Alexander
core +3 more sources
A survey on monocular 3D human pose estimation
Virtual Reality & Intelligent Hardware, 2020 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
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
MoDeep: A Deep Learning Framework Using Motion Features for Human Pose Estimation [PDF]
, 2014 In this work, we propose a novel and efficient method for articulated human pose estimation in videos using a convolutional network architecture, which incorporates both color and motion features.
Bregler, Christoph +3 more
core +1 more source
Complex Human Pose Estimation via Keypoints Association Constraint Network
IEEE Access, 2020 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
Shift Pose: A Lightweight Transformer-like Neural Network for Human Pose Estimation
Sensors, 2022 High-performing, real-time pose detection and tracking in real-time will enable computers to develop a finer-grained and more natural understanding of human behavior. However, the implementation of real-time human pose estimation remains a challenge.
Haijian Chen, Xinyun Jiang, Yonghui Dai
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