针对ViBe算法在进行海面远距离运动目标检测时存在噪声和干扰的问题, 在ViBe算法的基础上提出4点优化。首先, 在背景建模中扩大样本取值范围减少判别误差;接着, 根据背景的动态变化程度自适应地设定不同的阈值与背景模型更新速率, 增强了算法的自适应能力;然后, 定义一个闪烁等级, 当闪烁等级达到一定阈值时, 判定为闪烁点, 减少对海面闪烁点的误判;最后, 对输入的视频序列进行金字塔变换, 得到不同分辨率的图像, 对于不同分辨率的图像, 分别使用改进的 Vibe算法检测出结果, 并对这些结果进行融合, 再一次减少了海面闪烁点的影响。实验结果表明, 所提算法能够减少海面噪声, 以较好的实时性稳定地检测和提取海面远距离运动目标。

In view of the noise and interference of the ViBe algorithm in the detection of long-distance moving targets on the sea surface, we propose four improvements based on the ViBe algorithm.First, the range of sample values in background modeling is expanded to reduce wrong judgments.Then, different thresholds and background model update rates are adaptively set according to the degree of dynamic change of the background, and the adaptive ability of the algorithm is enhanced.Next, a blinking level is defined.When the blinking level reaches a certain threshold, it is determined to be a blinking point, which reduces the misjudgment of the blinking point on the sea surface.Finally, pyramid-transformation is made to the input video sequence to obtain images with different resolutions.The improved Vibe algorithm is used to detect the foreground at different resolutions, and the detection results are fused to reduce the influence of blinking points on the sea surface.The experimental results show that the proposed algorithm can reduce noise on the sea surface and detect and extract long-distance moving targets on the sea surface with good real-time stability.