Method and apparatus for moving object detection using principal component analysis based radial basis function network
US9349193B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 31, 2014 |
| Grant date | May 24, 2016 |
| Priority date | — |
| Expiry date | Nov 20, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/62
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.