Method of Improving Incomplete Spatial-Temporal Data in Inland Navigation, on the Basis of Industrial Camera Images – West Oder River Case Study

Author:

Stępień Grzegorz1,Kujawski Artur2,Tomczak Arkadiusz1,Hałaburda Roman1,Borczyk Kamil1

Affiliation:

1. Department of Geoinformatics , Maritime University of Szczecin , ul. Żołnierska 46 , Szczecin , Poland

2. Faculty of Economics and Transport Engineering , Maritime University of Szczecin , ul. H. Pobożnego 11 , Szczecin , Poland

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.

Publisher

Walter de Gruyter GmbH

Subject

Computer Science Applications,General Engineering

Reference51 articles.

1. 1. Ali, A. T. and Dagless, E. L. (1992) A parallel processing model for real-time computer vision-aided road traffic monitoring, Parallel Processing Letters, 2, 257–264.10.1142/S0129626492000398

2. 2. Allgeuer, P. and Behnke, S. (2018) Fused Angles and the Deficiencies of Euler Angles. In: IEEE International Conference on Intelligent Robots and Systems. doi: 10.1109/IROS.2018.8593384.10.1109/IROS.2018.8593384

3. 3. Andrei, C. (2006) 3D affine coordinate transformations, Geometria.

4. 4. Anitha, J. J. and Deepa, S. M. (2014) Tracking and Recognition of Objects using SURF Descriptor and Harris Corner Detection, International Journal of Current Engineering and Technology, 4(2), 775–778.

5. 5. Baetslé, P.-L. (1966) Conformal transformations in three dimensions, Photogrammetric engineering and remote sensing.

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