Results 21 to 30 of about 129,382 (270)

Dual‐view 3D human pose estimation without camera parameters for action recognition

IET Image Processing, 2021
The purpose of 3D human pose estimation is to estimate the 3D coordinates of key points of the human body directly from images. Although multi‐view based methods have better performance and higher precision of coordinate estimation than a single‐view ...
Long Liu, Le Yang, Wanjun Chen, Xin Gao
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Calibrated deep attention model for 3D pose estimation in the wild

Electronic Research Archive, 2023
Three-dimensional human pose estimation is a key technology in many computer vision tasks. Regressing a 3D pose from 2D images is a challenging task, especially for applications in natural scenes.
Longkui Jiang , Yuru Wang, Xinhe Ji
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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, Xiangping Zhong, Lingyan Ran, Yanning Zhang   +3 more
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A Study on 3D Human Pose Estimation Using Through-Wall IR-UWB Radar and Transformer

IEEE Access, 2023
In this paper, we propose a human pose estimation algorithm for an impulse radio ultra-wideband (IR-UWB) radar based on the transformer-based deep learning model.
Gon Woo Kim, Sang Won Lee, Ha Young Son, Kae Won Choi   +3 more
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Towards Single 2D Image-Level Self-Supervision for 3D Human Pose and Shape Estimation

Applied Sciences, 2021
Three-dimensional human pose and shape estimation is an important problem in the computer vision community, with numerous applications such as augmented reality, virtual reality, human computer interaction, and so on.
Junuk Cha, Muhammad Saqlain, Changhwa Lee, Seongyeong Lee, Seungeun Lee, Donguk Kim, Won-Hee Park, Seungryul Baek   +7 more
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Anatomy-Aware 3D Human Pose Estimation With Bone-Based Pose Decomposition [PDF]

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Accepted by IEEE Transactions on Circuits and Systems for Video Technology.
Tianlang Chen, Chen Fang, Xiaohui Shen, Yiheng Zhu, Zhili Chen, Jiebo Luo   +5 more
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3D Human Pose Estimation With Spatial Structure Information

IEEE Access, 2021
Estimating 3D human poses from 2D poses is a challenging problem due to joints self-occlusion, weak generalization, and inherent ambiguity of recovering depth. Actually, there exists spatial structure dependence on human body key points which can be used
Xiaoshan Huang, Jun Huang, Zengming Tang
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In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations [PDF]

, 2019
Convolutional Neural Network based approaches for monocular 3D human pose estimation usually require a large amount of training images with 3D pose annotations.
Habibie, Ikhsanul, Mehta, Dushyant, Pons-Moll, Gerard, Theobalt, Christian, Xu, Weipeng   +4 more
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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, Lin, Zhouchen, Wang, Chunyu, Wang, Yizhou, Yuille, Alan L.   +4 more
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An Open-Source Platform for Human Pose Estimation and Tracking Using a Heterogeneous Multi-Sensor System

Sensors, 2021
Human pose estimation and tracking in real-time from multi-sensor systems is essential for many applications. Combining multiple heterogeneous sensors increases opportunities to improve human motion tracking.
Ashok Kumar Patil, Adithya Balasubramanyam, Jae Yeong Ryu, Bharatesh Chakravarthi, Young Ho Chai   +4 more
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