计算机工程与应用2016，Vol.52Issue(23)：203-207,5.DOI:10.3778/j.issn.1002-8331.1606-0092
改进视觉背景提取ViBe算法的目标检测
Improved visual background extractor ViBe algorithm for detecting objects
摘要
Abstract
As the ViBe algorithm has some ghost which will be a long time, weak adaptability to dynamic scene and strong sensibility to light changes, it proposes an improved algorithm which is more adaptable in this paper. In the back-ground model initialization, the background model with the actual degree of agreement reaches 86.78%, it is formed after the multi frame images are randomly selected and accumulated judgment. Then it puts forward the measure background dynamic degree factor, according to its value, it can obtain the image’s adaptive clustering and threshold update, in order to improve the detection accuracy in complex background. Considering the effect of the change of light on the detection results, it puts forward the image brightness factor and uses it in the cluster detection and increases the robustness of the algorithm to the illumination. Compared with other algorithms, improved algorithm can detect target object accurately in different scenarios and has better adaptability in kinds of scenes.关键词
背景建模/目标检测/鬼影/动态程度/图像亮度变化Key words
background modeling/object detection/ghost/dynamic degree/image brightness variations分类
信息技术与安全科学引用本文复制引用
齐悦,曹锐..改进视觉背景提取ViBe算法的目标检测[J].计算机工程与应用,2016,52(23):203-207,5.基金项目
虚拟现实技术与系统国家重点实验室开放课题（No.BUAAVR-15KF-16）；山西省自然科学基金（No.2014021022-5）；山西省教育厅高等学校科技创新项目（No.2015124）。 （）
