传感技术学报2018，Vol.31Issue(5)：738-745,8.DOI:10.3969/j.issn.1004-1699.2018.05.015
一种基于多属性单值中智集相关度量测的视频运动目标检测方法
A Method for Visual Foreground Detection Using the Correlation Coefficient between Multi-Criteria Single Valued Neutrosophic Multisets
摘要
Abstract
Visual foreground detection is one of the most important tasks for the data analysis of the visual sensor,and it is always applied in video surveillance. Several basic background models are often employed due to their high effi-ciency. However,their results will be highly disturbed when there exists noisy information generated by the bad weath-er,dynamic background etc. We utilize the theory of NS(Neutrosophic Set)to propose an improved method for fore-ground detection. First,a sequence of background subtraction images is calculated. Second,such a sequence is repre-sented in the NS domain via three membership subsets T,I,and F. Finally,the correlation coefficient between multi-period or normal single valued neutrosophic multisets is employed to highlight the moving objects on the image plane. Then the Otsu' s method is employed to determine an optimized value for segmentation. Experiments are conducted on a variety of real-world video sequences,and the experimental results demonstrate that the proposed approach can ex-tract the moving objects robustly,even when there exists challenges like bad weather or dynamic background.关键词
运动目标检测/中智集/单值中智集/相关度量测Key words
foreground detection/neutrosophic set/single valued neutrosophic set/correlation coefficient分类
信息技术与安全科学引用本文复制引用
胡珂立,范恩,叶军,樊长兴,沈士根,谷宇章..一种基于多属性单值中智集相关度量测的视频运动目标检测方法[J].传感技术学报,2018,31(5):738-745,8.基金项目
国家自然科学基金项目(61603258,61703280) （61603258,61703280）
浙江省公益技术应用研究项目(2016C31082) （2016C31082）
