公开(公告)号：US20220180132A1

公开(公告)日：2022-06-09

申请号：US17411007

申请日：2021-08-24

申请人： TONGJI UNIVERSITY

发明人： Deshuang Huang ,  Yong Wu

IPC分类号： G06K9/62 ,  G06N3/08 ,  G06T5/20 ,  G06T5/50 ,  G06T7/73

摘要： Disclosed is a cross-modality person re-identification method based on local information learning, the method comprising the following steps: acquiring a standard data set and performing data enhancement on the standard data set; dividing the enhanced standard data set into a training set and a test set; constructing a cross-modality person re-identification training network based on a dual-stream ResNet50 convolutional neural network architecture; inputting the training set into the cross-modality person re-identification training network to obtain a cross-modality person re-identification test network through training; randomly selecting an image to be queried from the test set, and inputting the image to be queried and a candidate database from the test set into the cross-modality person re-identification test network to obtain an identification accuracy value corresponding to the image to be queried.