Training and using a convolutional neural network for person re-identification
US11138469B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 6, 2019 |
| Grant date | Oct 5, 2021 |
| Priority date | — |
| Expiry date | Jan 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/048
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for re-identification of a subject in an image by pre-training a convolutional neural network to recognize individuals within a closed set of possible identifications and further pre-training the convolutional neural network using classification loss; training the pre-trained convolutional neural network by sequentially processing a plurality of triplet of images, each triplet containing a query image degraded by adding random noise to a region of the query image, a positive image corresponding to an image of a same subject as in the query image, and a negative image corresponding to an image of a different subject as in the query image by (a) ranking the triplets by the triplet loss computed, (b) selecting a subset of triplets among the plurality of triplets, and (c) retraining the pre-trained convolutional neural network on each of the triplets of the subset of triplets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.