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:
Jun. 14, 2022

Filed:

Apr. 21, 2020
Applicant:

Safran Electronics & Defense, Paris, FR;

Inventor:

Dominique Maltese, Paris, FR;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G06V 10/75 (2022.01); G06V 10/25 (2022.01); G06T 7/77 (2017.01); G01S 7/41 (2006.01); G01S 13/04 (2006.01); G06V 10/36 (2022.01); G06V 10/22 (2022.01); G06T 7/70 (2017.01); G06V 10/26 (2022.01); G01S 17/04 (2020.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06V 10/758 (2022.01); G01S 7/414 (2013.01); G01S 13/04 (2013.01); G01S 17/04 (2020.01); G06T 7/70 (2017.01); G06T 7/77 (2017.01); G06V 10/23 (2022.01); G06V 10/25 (2022.01); G06V 10/26 (2022.01); G06V 10/36 (2022.01); G06V 10/451 (2022.01); G06V 10/751 (2022.01); G06V 2201/07 (2022.01);
Abstract

Detecting an object in an image of pixels is disclosed. The method includes: obtaining a position of a mask covering at least one pixel of an image; obtaining a predefined neighbourhood of pixels around the mask and dividing this neighbourhood into zones; for each zone, calculating a mean and variance of values of the pixels of the zone; calculating, for each possible pair of zones, a difference between the zones; determining whether a background of the mask is multimode or monomode according to the differences; calculating a variance of the values of the neighbourhood pixels using a formula for calculating the variance dependent on the monomode or multimode type of the background; calculating a signal to noise ratio for the mask position using the variance of the values of the pixels of the neighbourhood obtained; and detecting an object when the signal to noise ratio is above a threshold.


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