首页>
外国专利>
Method and apparatus for moving object detection using principal component analysis based radial basis function network
Method and apparatus for moving object detection using principal component analysis based radial basis function network
展开▼
机译:使用基于主成分分析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 Principal Component Analysis-based Radial Basis Function network (PCA-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 Eigen-patterns are generated from the sequence of incoming frames based on a Principal Component Analysis (PCA) 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 Eigen-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▼