Video surveillance system based on Gaussian mixture modeling with two-type learning rate control scheme
US8599255B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Dec 7, 2010 |
| Grant date | Dec 3, 2013 |
| Priority date | — |
| Expiry date | Mar 8, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
In the present invention, we identify that such a tradeoff between robustness to background changes and sensitivity to foreground abnormalities can be easily controlled by a new computational scheme of two-type learning rate control for the Gaussian mixture modeling (GMM). Based on the proposed rate control scheme, a new video surveillance system that applies feedbacks of pixel properties computed in object-level analysis to the learning rate controls of the GMM in pixel-level background modeling is developed. Such a system gives better regularization of background adaptation and is efficient in resolving the tradeoff for many surveillance applications.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.