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.