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Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach
Cameras are widely used in the detection and tracking of moving targets. Compared to target visual tracking using a single camera, cooperative tracking based on multiple cameras has advantages including wider visual field, higher tracking reliability, higher precision of target positioning and highe...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779118/ https://www.ncbi.nlm.nih.gov/pubmed/35062652 http://dx.doi.org/10.3390/s22020693 |
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author | Rao, Jinjun Xu, Kai Chen, Jinbo Lei, Jingtao Zhang, Zhen Zhang, Qiuyu Giernacki, Wojciech Liu, Mei |
author_facet | Rao, Jinjun Xu, Kai Chen, Jinbo Lei, Jingtao Zhang, Zhen Zhang, Qiuyu Giernacki, Wojciech Liu, Mei |
author_sort | Rao, Jinjun |
collection | PubMed |
description | Cameras are widely used in the detection and tracking of moving targets. Compared to target visual tracking using a single camera, cooperative tracking based on multiple cameras has advantages including wider visual field, higher tracking reliability, higher precision of target positioning and higher possibility of multiple-target visual tracking. With vast ocean and sea surfaces, it is a challenge using multiple cameras to work together to achieve specific target tracking and detection, and it will have a wide range of application prospects. According to the characteristics of sea-surface moving targets and visual images, this study proposed and designed a sea-surface moving-target visual detection and tracking system with a multi-camera cooperation approach. In the system, the technologies of moving target detection, tracking, and matching are studied, and the strategy to coordinate multi-camera cooperation is proposed. The comprehensive experiments of cooperative sea-surface moving-target visual tracking show that the method used in this study has improved performance compared with contrapositive methods, and the proposed system can meet the needs of multi-camera cooperative visual tracking of moving targets on the sea surface. |
format | Online Article Text |
id | pubmed-8779118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87791182022-01-22 Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach Rao, Jinjun Xu, Kai Chen, Jinbo Lei, Jingtao Zhang, Zhen Zhang, Qiuyu Giernacki, Wojciech Liu, Mei Sensors (Basel) Article Cameras are widely used in the detection and tracking of moving targets. Compared to target visual tracking using a single camera, cooperative tracking based on multiple cameras has advantages including wider visual field, higher tracking reliability, higher precision of target positioning and higher possibility of multiple-target visual tracking. With vast ocean and sea surfaces, it is a challenge using multiple cameras to work together to achieve specific target tracking and detection, and it will have a wide range of application prospects. According to the characteristics of sea-surface moving targets and visual images, this study proposed and designed a sea-surface moving-target visual detection and tracking system with a multi-camera cooperation approach. In the system, the technologies of moving target detection, tracking, and matching are studied, and the strategy to coordinate multi-camera cooperation is proposed. The comprehensive experiments of cooperative sea-surface moving-target visual tracking show that the method used in this study has improved performance compared with contrapositive methods, and the proposed system can meet the needs of multi-camera cooperative visual tracking of moving targets on the sea surface. MDPI 2022-01-17 /pmc/articles/PMC8779118/ /pubmed/35062652 http://dx.doi.org/10.3390/s22020693 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rao, Jinjun Xu, Kai Chen, Jinbo Lei, Jingtao Zhang, Zhen Zhang, Qiuyu Giernacki, Wojciech Liu, Mei Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach |
title | Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach |
title_full | Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach |
title_fullStr | Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach |
title_full_unstemmed | Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach |
title_short | Sea-Surface Target Visual Tracking with a Multi-Camera Cooperation Approach |
title_sort | sea-surface target visual tracking with a multi-camera cooperation approach |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8779118/ https://www.ncbi.nlm.nih.gov/pubmed/35062652 http://dx.doi.org/10.3390/s22020693 |
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