计算机技术与发展2018，Vol.28Issue(3)：122-126,5.DOI:10.3969/j.issn.1673-629X.2018.03.026
基于立体匹配的改进ViBe算法
An Improved ViBe Algorithm Based on Stereo Matching
摘要
Abstract
Due to the immaturity of the depth camera technique,the application range of moving object detection algorithm with the fusion of depth information is restricted.For this,we propose an efficient stereo matching algorithm based on random selection strategy,which provides the depth information for moving object detection algorithm instead of the depth camera.First,the matching point sample sets are estab-lished,and their matching cost and confidence are computed by random selection of matching points in each frame.Then,the sets are updated and the matching points with high confidence are propagated to the neighborhood.As time goes on,the depth map will be obtained through a coarse-to-fine pattern.Lastly,the depth information is added to the conventional ViBe algorithm,which leads to the final test results.The experiments show that in the resolution of 400×300 the improved algorithm can achieve a nearly real-time frame rate of 8-10 frames per second and get the tripe speed of conventional ViBe on removing ghost and suppressing pseudo-target caused by light changing.Meanwhile, it obtains better detection and shadow elimination performances in common scene.关键词
视觉背景提取/鬼影/运动目标检测/深度信息/立体匹配/随机选择Key words
ViBe/ghost/motion object detection/depth information/stereo matching/random selection分类
信息技术与安全科学引用本文复制引用
杨硕,吉爱萍..基于立体匹配的改进ViBe算法[J].计算机技术与发展,2018,28(3):122-126,5.基金项目
辽宁省教育基金项目(L2014171) （L2014171）
