Robust Ship Detection and Tracking Using Modified ViBe and Backwash Cancellation Algorithm
This work addresses ship detection and tracking for coastal surveillance, but it appears incremental as it builds upon existing ViBe methods with specific modifications.
The paper tackled the problem of detecting and tracking ships in coastal video sequences with unpredictable dynamic conditions, proposing a modified ViBe method for moving object detection and a new backwash cancellation algorithm, resulting in robust real-time performance with decreased probability of losing ships compared to the original ViBe.
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.