Method and apparatus for moving object detection based on cerebellar model articulation controller network
US9123133B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 26, 2014 |
| Grant date | Sep 1, 2015 |
| Priority date | — |
| Expiry date | Apr 5, 2034 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30241
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for moving object detection based on a Cerebellar Model Articulation Controller (CMAC) network includes the following steps. A time series of incoming frames of a fixed location delivered over a network is received. A CMAC network is constructed from the time series of incoming frames, where the CMAC network includes an input space, an association memory space, a weight memory space, and an output space. A current frame is received and divided into a plurality of current blocks. Each of the current blocks is classified as either a background block or a moving object block according to the CMAC network. Whether a target pixel of the moving object blocks is a moving object pixel or a background pixel is determined according to an output of the CMAC network in the output space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.