Method and system for classifying an object-of-interest using an artificial neural network
US10599958B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 14, 2017 |
| Grant date | Mar 24, 2020 |
| Priority date | — |
| Expiry date | Aug 20, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V20/52
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and techniques for classifying an object-of-interest using an artificial neural network, such as a convolutional neural network. An artificial neural network receives a sample image including the object-of-interest overlaying a background and a sample background image excluding the object-of-interest and corresponding to the background overlaid by the object-of-interest. The object-of-interest is classified using the artificial neural network. The artificial neural network classifies the object-of-interest using the sample background and sample images. Prior to receiving the sample background and sample images the artificial neural network has been trained to classify the object-of-interest using training image pairs. Each of at least some of the training image pairs includes a first training image that includes a training object-of-interest overlaying a training background and a training background image excluding the training object-of-interest and corresponding to the training background.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.