计算机工程与科学2018，Vol.40Issue(4)：673-680,8.DOI:10.3969/j.issn.1007-130X.2018.04.014
一种基于改进视觉背景提取算法的前景检测
An improved visual background extraction algorithm for foreground detection
陈树 1丁保阔1
作者信息
- 1. 江南大学物联网工程学院,江苏无锡214122
- 折叠
摘要
Abstract
Visual background extraction algorithm (ViBe) for foreground detection has the disadvantage that there is ghost and it is difficult to eliminate it for a long time,so an improved visual background extraction algorithm is proposed.Firstly,being introduced in the first sequence with n video frames,the OTSU algorithm can calculate an adaptive threshold for the frame difference method so as to get a more accurate foreground region.Secondly,a sample image is synthesized by using the first n frame images without foreground regions.Finally,the model is initialized with the extended neighborhood range in the synthesized sample images,and the ViBe background model can be updated by the extended domain.The proposed algorithm is compared with various classical algorithms in a large number of video databases.Simulation results show that the improved ViBe algorithm can quickly eliminate the effect of ghost on foreground detection,so the foreground detection is more accurate.关键词
ViBe算法/鬼影/前景检测/背景减除法/OTSU算法Key words
visual background extractor algorithm/ghost/foreground detection/background subtraction method/OTSU algorithm分类
信息技术与安全科学引用本文复制引用
陈树,丁保阔..一种基于改进视觉背景提取算法的前景检测[J].计算机工程与科学,2018,40(4):673-680,8.
