US 12,223,722 B2
Person identification systems and methods
Christine Menking Swisher, San Diego, CA (US); Purnima Rajan, Eindhoven (NL); Asif Rahman, Brookline, MA (US); and Bryan Conroy, Garden City South, NY (US)
Assigned to Koninklijke Philips N.V., Eindhoven (NL)
Appl. No. 17/057,353
Filed by KONINKLIJKE PHILIPS N.V., Eindhoven (NL)
PCT Filed May 25, 2018, PCT No. PCT/EP2018/063852
§ 371(c)(1), (2) Date Nov. 20, 2020,
PCT Pub. No. WO2019/223885, PCT Pub. Date Nov. 28, 2019.
Prior Publication US 2021/0192270 A1, Jun. 24, 2021
Int. Cl. G06K 9/00 (2022.01); G06F 18/22 (2023.01); G06V 10/26 (2022.01); G06V 20/52 (2022.01)
CPC G06V 20/52 (2022.01) [G06F 18/22 (2023.01); G06V 10/26 (2022.01)] 15 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising:
acquiring, by one or more processors, a digital image that captures an environment containing at least a first subject;
segmenting, by one or more of the processors, a first portion of the digital image depicting the first subject into a plurality of superpixels;
for each superpixel of the plurality of superpixels:
assigning, by one or more of the processors, a semantic label to the superpixel,
extracting, by one or more of the processors, features of the superpixel, and
determining, by one or more of the processors, a measure of similarity between the features extracted from the superpixel and features extracted from a reference superpixel identified in a reference digital image, wherein the reference superpixel has a reference semantic label that matches the semantic label assigned to the superpixel; and
determining, by one or more of the processors, based on the measures of similarity associated with the plurality of superpixels, that the first subject is depicted in the reference image.