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Vessel Detection and Tracking Method Based on Video Surveillance
Ship detection and tracking is a basic task in any vessel traffic monitored area, whether marine or inland. It has a major impact on navigational safety and thus different systems and technologies are used to determine the best possible methods of detecting and identifying sailing units. Video monit...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928767/ https://www.ncbi.nlm.nih.gov/pubmed/31795198 http://dx.doi.org/10.3390/s19235230 |
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author | Wawrzyniak, Natalia Hyla, Tomasz Popik, Adrian |
author_facet | Wawrzyniak, Natalia Hyla, Tomasz Popik, Adrian |
author_sort | Wawrzyniak, Natalia |
collection | PubMed |
description | Ship detection and tracking is a basic task in any vessel traffic monitored area, whether marine or inland. It has a major impact on navigational safety and thus different systems and technologies are used to determine the best possible methods of detecting and identifying sailing units. Video monitoring is present in almost all of them, but it is usually operated manually and is used as a backup system. This is because of the difficulties in implementing an efficient and universal automatic detection method that would work in quickly alternating environmental conditions for all kind of sailing units—from kayaks to seagoing merchant vessels. This paper presents a method that allows the detection and tracking of ships using the video streams of existing monitoring systems for ports and rivers. The method and the results of experiments on three sets of data using cameras with different characteristics, settings, and scene locations are presented. The experiments were carried out in variable light and weather conditions, and a wide range of unit types were used as detection objectives. The results confirm the usability of the proposed solution; however, some minor issues were encountered in the presence of ships wakes or highly unfavourable weather conditions. |
format | Online Article Text |
id | pubmed-6928767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69287672019-12-26 Vessel Detection and Tracking Method Based on Video Surveillance Wawrzyniak, Natalia Hyla, Tomasz Popik, Adrian Sensors (Basel) Article Ship detection and tracking is a basic task in any vessel traffic monitored area, whether marine or inland. It has a major impact on navigational safety and thus different systems and technologies are used to determine the best possible methods of detecting and identifying sailing units. Video monitoring is present in almost all of them, but it is usually operated manually and is used as a backup system. This is because of the difficulties in implementing an efficient and universal automatic detection method that would work in quickly alternating environmental conditions for all kind of sailing units—from kayaks to seagoing merchant vessels. This paper presents a method that allows the detection and tracking of ships using the video streams of existing monitoring systems for ports and rivers. The method and the results of experiments on three sets of data using cameras with different characteristics, settings, and scene locations are presented. The experiments were carried out in variable light and weather conditions, and a wide range of unit types were used as detection objectives. The results confirm the usability of the proposed solution; however, some minor issues were encountered in the presence of ships wakes or highly unfavourable weather conditions. MDPI 2019-11-28 /pmc/articles/PMC6928767/ /pubmed/31795198 http://dx.doi.org/10.3390/s19235230 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wawrzyniak, Natalia Hyla, Tomasz Popik, Adrian Vessel Detection and Tracking Method Based on Video Surveillance |
title | Vessel Detection and Tracking Method Based on Video Surveillance |
title_full | Vessel Detection and Tracking Method Based on Video Surveillance |
title_fullStr | Vessel Detection and Tracking Method Based on Video Surveillance |
title_full_unstemmed | Vessel Detection and Tracking Method Based on Video Surveillance |
title_short | Vessel Detection and Tracking Method Based on Video Surveillance |
title_sort | vessel detection and tracking method based on video surveillance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928767/ https://www.ncbi.nlm.nih.gov/pubmed/31795198 http://dx.doi.org/10.3390/s19235230 |
work_keys_str_mv | AT wawrzyniaknatalia vesseldetectionandtrackingmethodbasedonvideosurveillance AT hylatomasz vesseldetectionandtrackingmethodbasedonvideosurveillance AT popikadrian vesseldetectionandtrackingmethodbasedonvideosurveillance |