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Comparative Analysis of Skeleton-Based Human Pose Estimation

open access: yesFuture 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

Research Progress of Deep Learning Methods in Two-dimensional Human Pose Estimation [PDF]

open access: yesJisuanji kexue, 2022
The task of human pose estimation is to locate and detect the key points of human body in images or videos.It has always been one of the hot research directions in the field of computer vision,and it is also a key step for computers to understand human ...
ZHANG Guo-ping, MA Nan, Guan Huai-guang, WU Zhi-xuan
doaj   +1 more source

Human-pose estimation based on weak supervision

open access: yesVirtual 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

Human Pose Estimation using Deep Consensus Voting

open access: yes, 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

Action Recognition via Multi-View Perception Feature Tracking for Human–Robot Interaction

open access: yesRobotics
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

Cascaded 3D Full-body Pose Regression from Single Depth Image at 100 FPS

open access: yes, 2018
There are increasing real-time live applications in virtual reality, where it plays an important role in capturing and retargetting 3D human pose. But it is still challenging to estimate accurate 3D pose from consumer imaging devices such as depth camera.
Su, Le, Xia, Shihong, Zhang, Zihao
core   +1 more source

A Hierarchical Children’s Dance Movement Pose Estimation Method Based on Sequence Multiscale Feature Fusion Representation

open access: yesAdvances in Multimedia, 2022
Aiming at the problem that traditional human motion pose estimation methods cannot accurately capture and estimate the movement changes of children dancers, a hierarchical dance pose estimation method for children based on sequence multiscale feature ...
Yanan Qin, Tao Huang, Guanzhen Tang
doaj   +1 more source

Pose for Action - Action for Pose

open access: yes, 2017
In this work we propose to utilize information about human actions to improve pose estimation in monocular videos. To this end, we present a pictorial structure model that exploits high-level information about activities to incorporate higher-order part ...
Gall, Juergen   +2 more
core   +1 more source

Survey on Two-Dimensional Human Pose Estimation of Deep Learning

open access: yesJisuanji kexue yu tansuo, 2021
In recent years, as a hot spot in the field of computer vision, human pose estimation has broad application prospects in video surveillance, human-computer interaction, and intelligent campus.
ZHOU Yan, LIU Ziqin, ZENG Fanzhi, ZHOU Yuexia, CHEN Jiawen, LUO Yue
doaj   +1 more source

Learning Feature Pyramids for Human Pose Estimation

open access: yes, 2017
Articulated human pose estimation is a fundamental yet challenging task in computer vision. The difficulty is particularly pronounced in scale variations of human body parts when camera view changes or severe foreshortening happens.
Li, Hongsheng   +4 more
core   +1 more source

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