Patent ID: 11961333
Assignee: BOARD OF TRUSTEES OF MICHIGAN STATE UNIVERSITY
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method for identifying a person, comprising:
storing a plurality of features sets, such that each feature set corresponds to a different person, where each feature set includes an identifier for a person, canonical features for the person and gait features for the person;
receiving, by an image processor, a set of images for a given person walking over a period of time;
extracting canonical features of the given person from the set of images using a first neural network, where the canonical features describe body shape of the given person;
extracting gait features of the given person from the set of images using the first neural network and a second neural network, where the gait features describe gait of the given person; and
identifying, by the image processor, the given person by comparing the canonical features of the given person and the gait features of the given person to the plurality of feature sets, where the first neural network and the second neural network are implemented by the image processor.