The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 17, 2024

Filed:

Sep. 30, 2020
Applicant:

Axis Ab, Lund, SE;

Inventors:

Markus Skans, Lund, SE;

Christian Colliander, Lund, SE;

Martin Ljungqvist, Lund, SE;

Willie Betschart, Lund, SE;

Niclas Danielsson, Lund, SE;

Assignee:

AXIS AB, Lund, SE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/80 (2022.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/045 (2023.01); G06T 5/50 (2006.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 40/00 (2022.01); G06V 40/10 (2022.01); G06V 40/20 (2022.01);
U.S. Cl.
CPC ...
G06V 40/107 (2022.01); G06F 18/214 (2023.01); G06F 18/22 (2023.01); G06N 3/045 (2023.01); G06T 5/50 (2013.01); G06V 10/44 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/52 (2022.01); G06V 40/23 (2022.01);
Abstract

A method of object re-identification in images of objects comprises providing a plurality of neural networks for object re-identification, wherein each of the plurality of neural networks is trained on image data with different sets of anatomical features, each set being represented by a reference vector; receiving a plurality of images of objects and an input vector representing anatomical features that are depicted in all of the plurality of images; comparing the input vector with the reference vectors for determining, according to a predefined condition, the most similar reference vector; and inputting image data of the plurality of objects to the neural network represented by the most similar reference vector for determining whether the plurality of objects have the same identity.


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