首页>
外国专利>
Method and apparatus for moving object detection using fisher's linear discriminant based radial basis function network
Method and apparatus for moving object detection using fisher's linear discriminant based radial basis function network
展开▼
机译:使用基于费舍尔线性判别的径向基函数网络进行运动物体检测的方法和装置
展开▼
页面导航
摘要
著录项
相似文献
摘要
A method for moving object detection based on a Fisher's Linear Discriminant-based Radial Basis Function Network (FLD-based RBF network) includes the following steps. A sequence of incoming frames of a fixed location delivered over a network are received. A plurality of discriminant patterns are generated from the sequence of incoming frames based on a Fisher's Linear Discriminant (FLD) model. A background model is constructed from the sequence of incoming frames based on a Radial Basis Function (RBF) network model. A current incoming frame is received and divided into a plurality of current incoming blocks. Each of the current incoming blocks is classified as either a background block or a moving object block according to the discriminant patterns. Whether a current incoming pixel of the moving object blocks among the current incoming blocks is a moving object pixel or a background pixel is determined according to the background model.
展开▼