Human Motion Capture Technology Based On Multi-Binocular Vision And Image Recognition

Weile Zhang, Kaizhu Yang, Y. Tang, Junpeng Yang, Xin Liang, Yiliang Fan, Qintao Du
{"title":"Human Motion Capture Technology Based On Multi-Binocular Vision And Image Recognition","authors":"Weile Zhang, Kaizhu Yang, Y. Tang, Junpeng Yang, Xin Liang, Yiliang Fan, Qintao Du","doi":"10.1109/ICWAPR51924.2020.9494612","DOIUrl":null,"url":null,"abstract":"This paper proposes a human motion capture system based on multi-binocular vision and image recognition. The system which relies on the principle of binocular imaging and stereo matching of the same name points of the human joints in the left and right views to obtain the 3D coordinates of the human joint points in real time, uses multiple binocular cameras placed at different angles for simultaneous shooting, expanding the integrity of the original binocular vision system. At the same time, the detection model of 3D abnormal estimation points of human joints under multi-binocular vision is established, so that the system can more accurately identify the 3D abnormal estimation points of human joints due to occlusion. Finally, the average coordinates of the non-abnormal human 3D joint points obtained by other binocular cameras are dynamically selected as system’s final estimated coordinates, thereby further improving the accuracy of human motion capture.","PeriodicalId":111814,"journal":{"name":"2020 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR51924.2020.9494612","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This paper proposes a human motion capture system based on multi-binocular vision and image recognition. The system which relies on the principle of binocular imaging and stereo matching of the same name points of the human joints in the left and right views to obtain the 3D coordinates of the human joint points in real time, uses multiple binocular cameras placed at different angles for simultaneous shooting, expanding the integrity of the original binocular vision system. At the same time, the detection model of 3D abnormal estimation points of human joints under multi-binocular vision is established, so that the system can more accurately identify the 3D abnormal estimation points of human joints due to occlusion. Finally, the average coordinates of the non-abnormal human 3D joint points obtained by other binocular cameras are dynamically selected as system’s final estimated coordinates, thereby further improving the accuracy of human motion capture.
基于多双目视觉和图像识别的人体动作捕捉技术
提出了一种基于多双目视觉和图像识别的人体运动捕捉系统。该系统利用双目成像和人体关节左右视图同名点的立体匹配原理,实时获取人体关节点的三维坐标,采用多台放置在不同角度的双目摄像机同时拍摄,扩展了原有双目视觉系统的完整性。同时,建立了多双目视觉下人体关节三维异常估计点检测模型,使系统能够更准确地识别出人体关节因遮挡造成的三维异常估计点。最后,动态选择其他双目摄像机获取的非异常人体三维关节点的平均坐标作为系统的最终估计坐标,从而进一步提高人体运动捕捉的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信