计算机科学 ›› 2017, Vol. 44 ›› Issue (4): 312-316.doi: 10.11896/j.issn.1002-137X.2017.04.063
瞿中,黄晓凌
QU Zhong and HUANG Xiao-ling
摘要： 视觉背景提取算法(ViBe)在视频的首帧图像中随机地选取每个像素的空间邻域像素,对其背景模型进行初始化。该算法在检测初期容易产生伪影。针对该问题,提出一种采用像素的时间域信息初始化背景模型的增强视觉背景提取算法(E-ViBe)。首先,利用像素在连续的多帧图像中的历史像素完成模型的初始化；然后,根据空间邻域像素所得到的背景复杂度自适应地获取分割阈值；最后,采用动态更新率对背景模型进行更新,从而让背景模型更快、更好地适应场景的变化。实验结果表明,E-ViBe算法不仅能够快速、有效地去除伪影,也提高了目标检测的准确度。
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