Results 31 to 40 of about 371,934 (280)
Swin-Pose: Swin Transformer Based Human Pose Estimation
2022 IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022 Convolutional neural networks (CNNs) have been widely utilized in many computer vision tasks. However, CNNs have a fixed reception field and lack the ability of long-range perception, which is crucial to human pose estimation. Due to its capability to capture long-range dependencies between pixels, transformer architecture has been adopted to computer ...
Xiong, Zinan +4 more
openaire +2 more sources
Robust Estimation of 3D Human Poses from a Single Image [PDF]
, 2014 Human pose estimation is a key step to action recognition. We propose a method of estimating 3D human poses from a single image, which works in conjunction with an existing 2D pose/joint detector.
Gao, Wen +4 more
core +4 more sources
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
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
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
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
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
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
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
Lifting from the Deep: Convolutional 3D Pose Estimation from a Single Image [PDF]
, 2017 We propose a unified formulation for the problem of 3D human pose estimation from a single raw RGB image that reasons jointly about 2D joint estimation and 3D pose reconstruction to improve both tasks.
Agapito, Lourdes +2 more
core +2 more sources