改进ViBe算法实现海面船只实时精准检测与跟踪
Robust Ship Detection and Tracking Using Modified ViBe and Backwash Cancellation Algorithm
- 改进ViBe模型降低船只丢失率，适应动态海况
- 新提出反尾迹消除方法，提升检测清晰度
- 适合海上监控、智能航运等实时视觉场景
本文提出一种鲁棒的实时船只检测与跟踪方法，用于海岸视频序列中的船只识别。由于海岸环境复杂多变，动态特性显著，需采用对扰动具备鲁棒性的检测方法。本文改进ViBe算法以实现运动目标检测，可同时检测船只与尾迹。改进后的ViBe有效降低了船只丢失概率，在自然海浪与光照变化下仍保持稳定，并能快速更新背景。基于船只的几何特征及亮度失真概念，提出一种新的反尾迹消除方法。实验结果表明，所提方法在船只检测与跟踪任务中表现优异，具备实时性与高精度。
原文摘要 · Abstract (English)
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.
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