基于工业相机影像的内河航运不完全时空数据改进方法——以西奥得河为例

IF 1.1 Q3 TRANSPORTATION SCIENCE & TECHNOLOGY
G. Stępień, Artur Kujawski, A. Tomczak, R. Hałaburda, K. Borczyk
{"title":"基于工业相机影像的内河航运不完全时空数据改进方法——以西奥得河为例","authors":"G. Stępień, Artur Kujawski, A. Tomczak, R. Hałaburda, K. Borczyk","doi":"10.2478/ttj-2022-0005","DOIUrl":null,"url":null,"abstract":"Abstract Main aim of the paper is to use a single non-metric camera to support the determination of the position of. Authors propose to use the existing infrastructure of CCTV cameras mounted on bridges and wharves to determine the position of inland waterway vessels. Image from cameras giving the pixel coordinates of moving object is transformed to the geodetic data domain using a modified projective transformation method. Novel approach is to use of Sequential Projection Transformation (SPT) which additionally uses virtual reference points. The transformation coefficients calculated using the virtual points are used to determine the position of the vessels and are also simultaneously used to calibrate the industrial camera. The method has been verified under real conditions, and the results obtained are average 30% more accurate compared to the traditionally used projective transformation using a small number of real points.","PeriodicalId":44110,"journal":{"name":"Transport and Telecommunication Journal","volume":"65 1","pages":"48 - 61"},"PeriodicalIF":1.1000,"publicationDate":"2022-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method of Improving Incomplete Spatial-Temporal Data in Inland Navigation, on the Basis of Industrial Camera Images – West Oder River Case Study\",\"authors\":\"G. Stępień, Artur Kujawski, A. Tomczak, R. Hałaburda, K. Borczyk\",\"doi\":\"10.2478/ttj-2022-0005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract Main aim of the paper is to use a single non-metric camera to support the determination of the position of. Authors propose to use the existing infrastructure of CCTV cameras mounted on bridges and wharves to determine the position of inland waterway vessels. Image from cameras giving the pixel coordinates of moving object is transformed to the geodetic data domain using a modified projective transformation method. Novel approach is to use of Sequential Projection Transformation (SPT) which additionally uses virtual reference points. The transformation coefficients calculated using the virtual points are used to determine the position of the vessels and are also simultaneously used to calibrate the industrial camera. The method has been verified under real conditions, and the results obtained are average 30% more accurate compared to the traditionally used projective transformation using a small number of real points.\",\"PeriodicalId\":44110,\"journal\":{\"name\":\"Transport and Telecommunication Journal\",\"volume\":\"65 1\",\"pages\":\"48 - 61\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2022-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transport and Telecommunication Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2478/ttj-2022-0005\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"TRANSPORTATION SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport and Telecommunication Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/ttj-2022-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"TRANSPORTATION SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

摘要本文的主要目的是利用单个非度量相机来支持物体的位置确定。作者建议利用现有的安装在桥梁和码头上的闭路电视摄像机基础设施来确定内河船舶的位置。利用改进的射影变换方法,将给出运动物体像素坐标的摄像机图像转换为大地测量数据域。一种新颖的方法是利用序列投影变换(SPT),在此基础上增加虚拟参考点。利用虚拟点计算的变换系数用于确定容器的位置,同时也用于校准工业相机。该方法在实际条件下进行了验证,得到的结果比使用少量实点的传统投影变换平均提高了30%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Method of Improving Incomplete Spatial-Temporal Data in Inland Navigation, on the Basis of Industrial Camera Images – West Oder River Case Study
Abstract Main aim of the paper is to use a single non-metric camera to support the determination of the position of. Authors propose to use the existing infrastructure of CCTV cameras mounted on bridges and wharves to determine the position of inland waterway vessels. Image from cameras giving the pixel coordinates of moving object is transformed to the geodetic data domain using a modified projective transformation method. Novel approach is to use of Sequential Projection Transformation (SPT) which additionally uses virtual reference points. The transformation coefficients calculated using the virtual points are used to determine the position of the vessels and are also simultaneously used to calibrate the industrial camera. The method has been verified under real conditions, and the results obtained are average 30% more accurate compared to the traditionally used projective transformation using a small number of real points.
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
Transport and Telecommunication Journal
Transport and Telecommunication Journal TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
3.00
自引率
0.00%
发文量
21
审稿时长
35 weeks
×
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