Role and integration of image processing systems for maritime target tracking
1 Smart Systems and Emerging Technologies, FSTT, Abdelmalek Essaadi University, Tetouan, Morocco.
2 Equipe de physique de la matière condensé, Faculty of Science, Abdelmalek-Essaadi University, Tetouan, Morocco.
3 Computer Science and Smart Systems, FSTT, Abdelmalek-Essaadi University, Tetouan, Morocco.
4 Industrial Systems Engineering and Energy Conversion Team, FSTT, Abdelmalek Essaadi University, Tetouan.
Research Article
World Journal of Advanced Research and Reviews, 2024, 22(02), 724–732
Publication history:
Received on 30 March 2024; revised on 09 May 2024; accepted on 11 May 2024
Abstract:
In recent years, maritime traffic has increased, especially in seaborne trade. To ensure safety, security, and environmental protection, various systems have been deployed, often combining data for improved effectiveness. One key application of this combined data is tracking targets at sea, where the Automatic Identification System (AIS) and X-band marine radar are crucial. Recently, there has been growing interest in using visual data from cameras to enhance tracking. This has led to the development of several tracking algorithms based on image processing. While much of the existing literature addresses data fusion, there hasn’t been much focus on why integrating image processing systems is important given the existence of the other systems. In our paper, we aim to analyze these surveillance systems and highlight the benefits of integrating image processing systems. Our main goal is to show how this integration can improve maritime security, offering practical insights into enhancing safety and protection at sea.
Keywords:
Maritime target tracking; Image processing systems; Automatic Identification System (AIS); X-band marine radar; Data fusion; Maritime security; Anomaly detection; Surveillance systems
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Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0