Video object segmentation using active contour modelling with global relaxation
US6546117B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 10, 1999 |
| Grant date | Apr 8, 2003 |
| Priority date | — |
| Expiry date | Jun 10, 2019 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/62
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system for image object tracking and segmentation, includes (i) a modified adaptive resonance theory-2 (M-ART2) model for detecting changes of scenes, (ii) a two-dimensional correlative autopredicitve search (2D CAPS) method for object tracking, (iii) a derivation of contour energy for use in modelling an object edge, and (iv) an active contour model with global relaxation for defining optimal image object boundaries. The modelled object boundary is derived from an edge potential energy calculation and a set of current edge points. For each edge point, several candidate data points are also selected. Rather than calculate an energy value for each potential contours, a solution is achieved by comparing energy differences along a travel path. The selected contour is built in steps. An optimal path is selected from the potential paths.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.