南京邮电大学学报（自然科学版）2013，Vol.33Issue(3)：12-17,25,7.
自适应背景更新及运动目标检测算法
Adaptive Background Update and Moving Object Detection
摘要
Abstract
Detecting moving objects from video is a key technique in intelligent video surveillance applications.This paper proposes an adaptive region-based background update and moving object detection algorithm.The initial stationary background is established by using Gaussian model and the difference image is obtained by background subtraction.Then,the binary processing of difference image is carried by using adaptive threshold,and the moving object region masks are obtained by the post processing including morphology filtering and area detection of connected regions.The moving objects are Finally detected and the background is updated.The experimental results show that the proposed algorithm can effectively deal with the problems of background disturbance,illumination change etc.and is more efficient than the algorithm based on pixel.关键词
视频监控/运动目标检测/自适应背景更新/自适应阈值选取Key words
video surveillance / moving object detection / adaptive background update / adaptive threshold selection分类
信息技术与安全科学引用本文复制引用
卢官明,谢双..自适应背景更新及运动目标检测算法[J].南京邮电大学学报（自然科学版）,2013,33(3):12-17,25,7.基金项目
国家自然科学基金(61071167)和江苏省科技支撑计划(工业)(BE2009157)资助项目 （61071167）
