US 12,080,041 B2
Image processing for occluded item recognition
Brent Vance Zucker, Roswell, GA (US); and Adam Justin Lieberman, Suwanee, GA (US)
Assigned to NCR Voyix Corporation, Atlanta, GA (US)
Filed by NCR Voyix Corporation, Atlanta, GA (US)
Filed on Feb. 9, 2021, as Appl. No. 17/171,026.
Application 17/171,026 is a continuation of application No. 16/174,834, filed on Oct. 30, 2018, granted, now 11,030,768.
Prior Publication US 2021/0166417 A1, Jun. 3, 2021
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/13 (2017.01); G06T 7/73 (2017.01); G06T 7/90 (2017.01); G06V 10/26 (2022.01); G06V 20/52 (2022.01); G06Q 30/0601 (2023.01)
CPC G06V 10/273 (2022.01) [G06T 7/13 (2017.01); G06T 7/73 (2017.01); G06T 7/90 (2017.01); G06V 20/52 (2022.01); G06Q 30/0601 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30232 (2013.01)] 8 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving an occluded image associated with an unknown item that is in the possession of a tracked person within a store;
modifying pixels of the occluded image producing a modified image representing unknown item pixels distinguished from other pixels, wherein modifying further includes removing tracked person pixels that depict the tracked person from the modified image by clustering the pixels into buckets and removing a given bucket of pixels associated with the tracked person pixels, wherein modifying further includes segmenting the modified image to isolate the unknown item pixels based on detected edges and removing the tracked person pixels;
providing the modified image to a trained machine-learning algorithm as an input;
receiving as an output from the trained machine-learning algorithm a known item identifier for a known item associated with the unknown item; and
providing the known item identifier to a transaction manager that manages a shopping cart for a transaction for the tracked person within the store.