一种对阴影鲁棒的背景建模算法  

A robust background modeling algorithm for shadows

作　　者：范志辉[1] 卢朝阳[1] 李静[1] 姜维[1] 姚超[1] 

机构地区：[1]西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西西安710071

出　　处：《中国科学技术大学学报》2015年第7期561-567,共7页JUSTC

基　　金：中央高校基本科研业务费专项基金(K50510010007)资助

摘　　要：为消除前景图像的阴影,提出了一种基于尺度不变局部三元模式(SILTP)的视频图像背景建模算法。该算法利用图像帧级、图像块级和像素级三级信息进行设计.在图像帧级,利用全局灰度均值处理亮度突变;在图像块级,利用SILTP纹理图像基于图像块进行背景建模,快速定位前景目标大致轮廓;在像素级,用类ViBe算法检测前景目标精确边界.实验表明该算法不仅可有效消除前景图像的阴影,对复杂场景亦具有较好适应性.To remove shadows from foreground objects ,an algorithm for background subtraction based on Scale‐invariant model of local pattern （SILTP） was proposed .The algorithm was designed by fusing three levels of information from the frame , region and pixel levels . The frame level detects sudden , global changes between frames by the global mean gray value .At the region level , the SILTP operator was utilized to get the texture images .Then the texture histograms were used to model background ,so as to quickly find contours of moving objects in the frame sequence . The pixel‐level obtains object contours accurately using similar‐ViBe algorithm . Exhaustive experimental evaluations on complex scenes show efficiency of the proposed method .

关 键 词：运动分割 目标检测 背景差 阴影消除 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]