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.

翻译：本文提出了一种鲁棒的实时检测与跟踪方法，用于海岸视频序列中的船舶检测。由于海岸场景具有不可预测性与动态特性，必须采用能适应这些条件的鲁棒检测方法。本文提出改进的ViBe算法用于运动目标检测，可有效识别船舶及其尾流。相较于原始ViBe算法，改进版本显著降低了船舶目标的漏检概率。该方法对自然海浪与光照变化具有鲁棒性，并能快速更新背景模型。基于船舶的几何特征及亮度畸变等概念，本文进一步提出了一种新的尾流消除方法。实验结果表明，所提出的策略与方法在船舶检测与跟踪任务中表现出卓越性能，同时验证了该策略具备实时性与精确性。