Person identification systems and methods

A system configured to:

• acquire a digital image that captures an environment containing at least a first subject;
• segment a first portion of the digital image depicting the first subject into a plurality of superpixels;
• for each superpixel of the plurality of superpixels:
• assign a semantic label to the superpixel,
• extract features of the superpixel, and
• determine 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
• determine, based on the measures of similarity associated with the plurality of superpixels, that the first subject is depicted in the reference image.

At least one non-transitory computer-readable medium comprising instructions that, in response to execution of the instructions by one or more processors, cause the one or more processors to perform the following operations:

• acquiring a digital image that captures an environment containing at least a first subject;
• segmenting 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 a semantic label to the superpixel,
• extracting features of the superpixel, and
• determining 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, based on the measures of similarity associated with the plurality of superpixels, that the first subject is depicted in the reference image.