ViBe算法由于便于实现、运算效率高等优点,在运动目标检测等领域获得了广泛应用,但其鬼影、阴影和运动目标不完整等不足也限制了ViBe算法的发展。针对ViBe算法在前景检测中的鬼影现象且长时间难以消除的问题,提出一种结合平均背景法改进的ViBe算法。首先采用改进的平均背景法获得真实背景,再对真实背景进行背景样本初始化;然后利用ViBe 算法实现前景检测、背景更新操作,从而消除后续帧检测时出现的鬼影;最后根据形态学相关知识来消除空洞以及干扰目标,使得目标更加完整。实验结果表明,与传统的ViBe算法相比,本文算法能够有效地消除鬼影,提高检测精度。

The ViBe algorithm has been widely used for moving target detection owing to advantages such as ease of realization and high operational efficiency. However, the algorithm has weaknesses concerning ghosts, shadows, and incomplete moving targets. Therefore, an improved ViBe algorithm combined with the average background method is proposed, which aims to address the ghost phenomenon existing in the foreground detection of the ViBe algorithm, and the difficulty regarding its long-term elimination. First, the improved average background method was used to obtain and initialize the true background. Then, the ViBe algorithm was used for both foreground detection and background updating, to eliminate the ghosts in subsequent frame detection. Finally, morphological knowledge was used to make the target more complete by eliminating holes and interference targets. The experimental results indicate that this algorithm can more effectively eliminate ghosts and improve the detection accuracy compared with the traditional ViBe algorithm.