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Role and Integration of Image Processing Systems in Maritime Target Tracking

arXiv 2206.12809 ↗First posted 26 Jun 2022eess.SP cs.CVcited by 0

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Abstract (arXiv)

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 reasons for 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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 1 of its 45 references that are in the map. First posted on arXiv 26 Jun 2022.

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References · 1

  1. 2019GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detectioncited by 16

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