Patent · US Active

Method and image processing entity for applying a convolutional neural network to an image

US10832076B2 · kind B2 · utility

0Cited by

0References

6Claims

0Family size

Assignee

Axis AB · SE

Inventors

Niclas Danielsson · Lund, SE
Simon Molin · Lund, SE
Markus Skans · Lund, SE

Key dates

Filing date	Dec 4, 2018
Grant date	Nov 10, 2020
Priority date	—
Expiry date	Mar 26, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06V10/454
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method and an image processing entity for applying a convolutional neural network to an image are disclosed. The image processing entity processes the image while using the convolutional kernel to render a feature map, whereby a second feature map size of the feature map is greater than a first feature map size of the feature maps with which the feature kernel was trained. Furthermore, the image processing entity repeatedly applies the feature kernel to the feature map in a stepwise manner, wherein the feature kernel was trained to identify the feature based on the feature maps of the first feature maps, wherein the feature kernel has the first feature map size.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.