液晶与显示2012，Vol.27Issue(5)：682-686,5.DOI:10.3788/YJYXS20122705.0682
静态背景下的运动目标检测算法
Algorithm of Moving Object Detection in Static Background
摘要
Abstract
Moving object detection is an important part of computer vision research. In order to eliminate the phenomenon of inanition, shadow and false edge, an novel algorithm of moving object detection based on five-frame-differencing and background edge-characteristic difference in the static background, is presented in this paper. Firstly, a background model is based on improved algorithm of Canny edge detection, the edge of motion object is gained by the background edge-characteristic difference, and then, it is combined with five-frame differencing to detect the motion object. Finally the complete and accurate object is extracted with morphologic filtering and connectivity detecting. The result shows the present algorithm runs quickly and veraciously and fits for real time detection.关键词
帧间差分/边缘检测/背景边缘检测差/运动目标检测Key words
frame difference/ edge detection/ background edge characteristic difference/moving object detection分类
信息技术与安全科学引用本文复制引用
吴君钦,刘昊,罗勇..静态背景下的运动目标检测算法[J].液晶与显示,2012,27(5):682-686,5.基金项目
国家自然科学基金项目(No.11062002) （No.11062002）
江西省自然科学基金(No.2008GZS0030) （No.2008GZS0030）
