Deep neural networks for human pose estimation from a very low resolution depth image

Author:

Szczuko PiotrORCID

Funder

Gdansk University of Technology

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference34 articles.

1. Cai Z, Han J, Liu L et al (2017) RGB-D datasets using Microsoft Kinect or similar sensors: a survey. Multimed Tools Appl 76:4313. https://doi.org/10.1007/s11042-016-3374-6

2. Chen T, Li M, Li Y, Lin M, Wang N, Wang M, Xiao T, Xu B, Zhang C, Zhang Z (2015) MXNet: a flexible and efficient machine learning library for heterogeneous distributed systems. arxiv: 1512.01274. Accessed 17 Sept 2018

3. Chen T, Kou Q, He T (2018) MXNet, R package version 1.0. https://mxnet.io , https://github.com/apache/incubator-mxnet/tree/master/R-package . Accessed 17 Sept 2018

4. Crabbe B, Paiement A, Hannuna S, Mirmehdi M (2015) Skeleton-free body pose estimation from depth images for movement analysis. In: IEEE Intl Conf computer vision workshops, pp 312–320. https://doi.org/10.1109/ICCVW.2015.49

5. Ganapathi V, Plagemann C, Koller D, Thrun S (2010) Real time motion capture using a single time-of-flight camera. In: IEEE Conf computer vision and pattern recognition (CVPR), pp 755–762

Cited by 18 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. 3D human pose data augmentation using Generative Adversarial Networks for robotic-assisted movement quality assessment;Frontiers in Neurorobotics;2024-04-05

2. Yoga Posture Analysis using Deep Learning;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

3. The Realtime Yoga Assistance System;2023 5th International Conference on Advancements in Computing (ICAC);2023-12-07

4. Efficient Low-Resolution Human Pose Estimation with Knowledge Bridge;2023 China Automation Congress (CAC);2023-11-17

5. A comprehensive survey on human pose estimation approaches;Multimedia Systems;2022-08-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3