Appearance modeling for object re-identification using weighted brightness transfer functions
US9633263B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 9, 2012 |
| Grant date | Apr 25, 2017 |
| Priority date | — |
| Expiry date | Mar 23, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG08B13/19613
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An approach for re-identifying an object in a first test image is presented. Brightness transfer functions (BTFs) between respective pairs of training images are determined. Respective similarity measures are determined between the first test image and each of the training images captured by the first camera (first training images). A weighted brightness transfer function (WBTF) is determined by combining the BTFs weighted by weights of the first training images. The weights are based on the similarity measures. The first test image is transformed by the WBTF to better match one of the training images captured by the second camera. Another test image, captured by the second camera, is identified because it is closer in appearance to the transformed test image than other test images captured by the second camera. An object in the identified test image is a re-identification of the object in the first test image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.