使用多个深度传感器的室内人体位置跟踪方法

Algirdas Dobrovolskis, A. Janavičiūtė, E. Kazanavicius, Agnius Liutkevičius
{"title":"使用多个深度传感器的室内人体位置跟踪方法","authors":"Algirdas Dobrovolskis, A. Janavičiūtė, E. Kazanavicius, Agnius Liutkevičius","doi":"10.53555/eijse.v4i1.155","DOIUrl":null,"url":null,"abstract":"In this article a positioning method for covering room area was proposed. Multiple Kinect depth sensors were used to work around narrow field of view of one Kinect sensor and cover the room area to prevent blind spots. Affine transformation was used to convert coordinates of the Kinect sensors to the coordinates of the room. Indoor human tracking application was developed in research. During application testing, average aggregated error of 15cm was determined.","PeriodicalId":354866,"journal":{"name":"EPH - International Journal of Science And Engineering","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"METHOD FOR INDOOR HUMAN POSITION TRACKING USING MULTIPLE DEPTH SENSORS\",\"authors\":\"Algirdas Dobrovolskis, A. Janavičiūtė, E. Kazanavicius, Agnius Liutkevičius\",\"doi\":\"10.53555/eijse.v4i1.155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article a positioning method for covering room area was proposed. Multiple Kinect depth sensors were used to work around narrow field of view of one Kinect sensor and cover the room area to prevent blind spots. Affine transformation was used to convert coordinates of the Kinect sensors to the coordinates of the room. Indoor human tracking application was developed in research. During application testing, average aggregated error of 15cm was determined.\",\"PeriodicalId\":354866,\"journal\":{\"name\":\"EPH - International Journal of Science And Engineering\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"EPH - International Journal of Science And Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.53555/eijse.v4i1.155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"EPH - International Journal of Science And Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.53555/eijse.v4i1.155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文提出了一种覆盖房间面积的定位方法。使用多个Kinect深度传感器来解决一个Kinect传感器的狭窄视野,并覆盖房间区域以防止盲点。仿射变换用于将Kinect传感器的坐标转换为房间的坐标。研究开发了室内人体跟踪应用。在应用测试中,平均聚合误差为15cm。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
METHOD FOR INDOOR HUMAN POSITION TRACKING USING MULTIPLE DEPTH SENSORS
In this article a positioning method for covering room area was proposed. Multiple Kinect depth sensors were used to work around narrow field of view of one Kinect sensor and cover the room area to prevent blind spots. Affine transformation was used to convert coordinates of the Kinect sensors to the coordinates of the room. Indoor human tracking application was developed in research. During application testing, average aggregated error of 15cm was determined.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信