针对传统ViBe算法在运动目标检测中鬼影现象难以消除的问题,提出一种根据欧氏距离及Tanimoto系数计算前景-邻域背景像素灰度直方图相似度的方法来检测及消除鬼影;针对传统ViBe算法在运动目标检测中无法消除阴影的问题,提出了一种结合YCbCr颜色空间和混合高斯阴影模型的方法来检测及消除阴影。仿真实验结果表明,本文算法在保留原有ViBe算法高效性的同时,能够有效地消除鬼影及阴影问题。

To address the problem of difficulty in eliminating the ghost in conventional ViBe algorithm in moving object detection, an algorithm based on Euclidean distance and Tanimoto coefficient is proposed. The proposed algorithm calculates the similarity of gray histogram of foreground and neighborhood pixels to detect and eliminate the ghost. Moreover, the conventional ViBe algorithm cannot eliminate the shadow in moving object detection. To mitigate this issue, an algorithm combining YCbCr color space and Gaussian mixture shadow model is proposed to detect and eliminate the shadow. Simulation results reveal that the proposed algorithm can effectively eliminate ghosts and shadows while maintaining the efficiency of the conventional ViBe algorithm.