Robust Ship Detection and Tracking Using Modified ViBe and Backwash Cancellation Algorithm

Fuente: arXiv
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Auteurs principaux: Saghafi, Mohammad Hassan, Noorhosseini, Seyed Majid, Javadein, Seyed Abolfazl Seyed, Khalili, Hadi
Format: Preprint
Publié: 2026
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author Saghafi, Mohammad Hassan
Noorhosseini, Seyed Majid
Javadein, Seyed Abolfazl Seyed
Khalili, Hadi
author_facet Saghafi, Mohammad Hassan
Noorhosseini, Seyed Majid
Javadein, Seyed Abolfazl Seyed
Khalili, Hadi
contents In this paper, we propose a robust real time detection and tracking method for detecting ships in a coastal video sequences. Since coastal scenarios are unpredictable and scenes have dynamic properties it is essential to apply detection methods that are robust to these conditions. This paper presents modified ViBe for moving object detection which detects ships and backwash. In the modified ViBe the probability of losing ships is decreased in comparison with the original ViBe. It is robust to natural sea waves and variation of lights and is capable of quickly updating the background. Based on geometrical properties of ship and some concepts such as brightness distortion, a new method for backwash cancellation is proposed. Experimental results demonstrate that the proposed strategy and methods have outstanding performance in ship detection and tracking. These results also illustrate real time and precise performance of the proposed strategy.
format Preprint
id arxiv_https___arxiv_org_abs_2601_01481
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Robust Ship Detection and Tracking Using Modified ViBe and Backwash Cancellation Algorithm
Saghafi, Mohammad Hassan
Noorhosseini, Seyed Majid
Javadein, Seyed Abolfazl Seyed
Khalili, Hadi
Computer Vision and Pattern Recognition
In this paper, we propose a robust real time detection and tracking method for detecting ships in a coastal video sequences. Since coastal scenarios are unpredictable and scenes have dynamic properties it is essential to apply detection methods that are robust to these conditions. This paper presents modified ViBe for moving object detection which detects ships and backwash. In the modified ViBe the probability of losing ships is decreased in comparison with the original ViBe. It is robust to natural sea waves and variation of lights and is capable of quickly updating the background. Based on geometrical properties of ship and some concepts such as brightness distortion, a new method for backwash cancellation is proposed. Experimental results demonstrate that the proposed strategy and methods have outstanding performance in ship detection and tracking. These results also illustrate real time and precise performance of the proposed strategy.
title Robust Ship Detection and Tracking Using Modified ViBe and Backwash Cancellation Algorithm
topic Computer Vision and Pattern Recognition
url https://arxiv.org/abs/2601.01481