摘要
ViBE算法是用于运动目标检测的典型算法,在检测运动量较小及运动速度较快的目标时,有可能出现漏检现象。针对此问题,提出一种融合单高斯模型的改进ViBE算法。单高斯模型具有灵敏度高、目标检测时间效率高等特点,可提升ViBE算法在检测运动目标时的准确性。
ViBE algorithm is a typical algorithm for moving target detection.When the fast target with a small amount of motion is detected by the ViBE algorithm,the target is considered as background and there is omission.In this paper,an improved ViBE algorithm integrating single Gaussian model is proposed.The single Gaussian model is characterized by high sensitivity and high time efficiency of target detection,which can be used to improve the accuracy of the ViBE algorithm in detecting moving objects.
作者
支祖利
高智勇
ZHI Zuli;GAO Zhiyong(Department of Technology and Science,Fuyang Vocational and Technical College,Fuyang Anhui 236000,China;College of Biomedical Engineering,South-Central University for Nationalities,Wuhan 430074,China)
出处
《重庆科技学院学报（自然科学版）》
CAS
2019年第2期86-90,共5页
Journal of Chongqing University of Science and Technology：Natural Sciences Edition
基金
安徽省自然科学重点研究项目"智能手机防火墙研究与设计"(KJ2017A605)
安徽省自然科学重点研究项目"互联网+模式下智能防盗系统研究"(KJ2018A0738)
