福州大学学报（自然科学版）2017，Vol.45Issue(6)：810-814,5.DOI:10.7631/issn.1000-2243.2017.06.0810
基于光流场与EM算法的运动目标检测
Moving target detection based on optical flow field and EM algorithm
摘要
Abstract
Due to the fact that the optical flow method for the target detection is not accurate, and weak in anti-noise, we propose a method based on a combination with optical flow field and the EM algorithm. We can obtain optical flow field from two pictures. On the basis of the optical flow field, we use the EM algorithm to cluster the optical flow which belong to the background and the motion field of objectives, as a result, we can obtain a whole objective and distinguish the foreground from back-ground, eliminate noise. Through the experimental results, it shows that the modified algorithm has a good effect on the detection of single object, multi-object or covered-object.关键词
目标检测/光流场/EM算法/模式识别Key words
target detection/optical flow/expectation maximization algorithm/pattern recognition分类
信息技术与安全科学引用本文复制引用
王源金,何建农..基于光流场与EM算法的运动目标检测[J].福州大学学报（自然科学版）,2017,45(6):810-814,5.基金项目
国家自然科学基金资助项目( 51277032) （ 51277032）
