A Computer Software Module Arrangement, a Circuitry Arrangement, an Arrangement and a Method for Improved Object Detection Adapting the Detection through Shifting the Image
AssigneeTelefonaktiebolaget LM Ericsson (publ)
InventorsFredrik Dahlgren, Anders Berkeman
Life of this patent
Estimating the term…
Abstract
An object detection arrangement (100) comprising a controller (101) configured to detect objects utilizing a multi-scale convolutional neural network, wherein the controller (101) is further configured to: receive (312, 410) image data representing an image (10) comprising an object to be detected (11) being at a distance (d) into the image (10); classify (314, 430) whether the object to be detected (11) is at risk of being incorrectly detected based on the distance (d); and if so compensate (315, 440) the object detection by shifting (317) the image (10).
Claims20
1-23. (canceled)
An object detection arrangement comprising a controller configured to detect objects utilizing a multi-scale convolutional neural network, wherein the controller is further configured to:
- receive image data representing an image comprising an object to be detected being at a distance into the image;
- classify whether the object to be detected is at risk of being incorrectly detected based on the distance;
- and if so
- compensate the object detection by shifting the image.
A method for object detection utilizing a multi-scale convolutional neural network (CNN) in an object detection arrangement, wherein the method comprises:
- receiving image data representing an image comprising an object to be detected being at a distance into the image;
- classifying whether the object to be detected is at risk of being incorrectly detected based on the distance;
- and if so
- compensating the object detection by shifting the image.
Dependencies are inferred from the claim text.