深度学习与人体姿态估计: 这篇综述文章探讨了基于深度学习的人体姿态估计技术,这是计算机视觉领域中的一个热门研究方向。文章涵盖了自2014年以来的260多篇研究论文。 姿态估计的分类 2D和3D姿态估计: 文章提供了对2D和3D人体姿态估计方法的系统分析和比较,包括它们的输入数据和推理过程。 这两种方法在单人 2D 人体姿态...
3D Human Pose Estimation (3D-HPE) is a highly active and evolving research area in computer vision with numerous applications such as extended reality, action recognition, and video surveillance. The field has significantly advanced with deep learning, public datasets, and enhanced computational power,...
对于人体模型的更详细描述,有两篇很好的论文:[Liu, Z., Zhu, J., Bu, J., Chen, C., 2015. A survey of human pose estimation: the body parts parsing based methods] 和 [Gong, W., Zhang, X., Gonz`alez, J., Sobral, A., Bouwmans, T., Tu, C., Zahzah,E.h., 2016. Human p...
SurveyDeep learningConvolutional neural networkHuman pose estimation aims at localizing human anatomical keypoints or body parts in the input data (e.g., images, videos, or signals). It forms a crucial component in enabling machines to have an insightful understanding of the behaviors of humans, ...
Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods arXiv:2006.01423v1 [cs.CV] 2 Jun 2020 Abstract 基于视觉(vision-based)的单目人体姿态估计(HPE),是计算机视觉(CV)中最为基础且最具有挑战性的任务之一,其旨在利用输入图像和视频序列来获取人体姿态。近年来随着深度学习的不断发展,基...
人体姿态估计综述(Monocular Human Pose Estimation: A Survey of Deep Learning-based Methods),程序员大本营,技术文章内容聚合第一站。
Although a large amount of work has been devoted to this field, 3D human pose estimation based on monocular images or videos remains a very challenging task due to a variety of difficulties such as depth ambiguities, occlusion, background clutters, and lack of training data. In this survey,...
Human pose estimation has attracted widespread attention due to its important application value and theoretical significance. A systemic survey of human pose estimation would be very meaningful. However, relevant studies have significantly lagged behind in this respect. To this end, we discuss the ...
3D Human Pose Estimation (3D-HPE) is a highly active and evolving research area in computer vision with numerous applications such as extended reality, action recognition, and video surveillance. The field has significantly advanced with deep learning, public datasets, and enhanced computational power...
The purpose of 3D human pose estimation is to predict information such as the 3D coordinate position and angle of human joint points, and construct human representations (such as human bones) for further analysis of human posture. With the continuous adv