计算机工程Issue(5)：254-258,263,6.DOI:10.3969/j.issn.1000-3428.2015.05.047
一种多模型协同的目标提取方法
An Object Extraction Method of Multi-model Cooperation
摘要
Abstract
Gaussian Mixture Model( GMM) is adopted to solve foreground detection problems. However,GMM can not detect objects in which do not move in the scene. This paper proposes the multi-model cooperative method to detect foreground objects in complex scene. Under the assumption that the camera is fixed,it first uses the adaptive GMM to build a background which is updated by the light detection model and the scene detection model. A shadow detection model is also used in this paper at last. It mades a comparison with two algorithms. Experimental results show that this method can completely extract the object contour,and single frame processing time is less.关键词
目标提取/高斯混合模型/光线检测模型/场景状态检测模型/阴影检测模型/背景更新Key words
object extraction/Gaussian Mixture Model (GMM)/light detection model/scene state detection model/shadow detection model/background update分类
信息技术与安全科学引用本文复制引用
冀续烨,陈明,冯国富,赵海乐..一种多模型协同的目标提取方法[J].计算机工程,2015,(5):254-258,263,6.基金项目
国家“863”计划基金资助项目(2012AA101905)。 （2012AA101905）
