Video foreground segmentation method
US7440615B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 26, 2006 |
| Grant date | Oct 21, 2008 |
| Priority date | — |
| Expiry date | Jan 16, 2027 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N7/141
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A fully automatic, computationally efficient segmentation method of video employing sequential clustering of sparse image features. Both edge and corner features of a video scene are employed to capture an outline of foreground objects and the feature clustering is built on motion models which work on any type of object and moving/static camera in which two motion layers are assumed due to camera and/or foreground and the depth difference between the foreground and background. Sequential linear regression is applied to the sequences and the instantaneous replacements of image features in order to compute affine motion parameters for foreground and background layers and consider temporal smoothness simultaneously. The Foreground layer is then extracted based upon sparse feature clustering which is time efficient and refined incrementally using Kalman filtering.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.