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

TL;DR

This paper introduces a robust real-time ship detection and tracking method using a modified ViBe algorithm and a novel backwash cancellation technique, effectively handling dynamic coastal scenarios with natural sea waves and lighting variations.

Contribution

The paper presents a modified ViBe algorithm with improved ship tracking capabilities and a new backwash cancellation method tailored for coastal environments.

Findings

Enhanced robustness to sea waves and lighting changes

Real-time and precise ship detection and tracking

Decreased loss of ships compared to original ViBe

Abstract

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.