公开(公告)号：US20230386244A1

公开(公告)日：2023-11-30

申请号：US18078027

申请日：2022-12-08

Applicant: UBTECH ROBOTICS CORP LTD

Inventor： SHUPING HU ,  Kan Wang ,  Huan Tan ,  Jianxin Pang

IPC: G06V40/10 ,  G06V10/776 ,  G06V10/74

CPC classification number: G06V40/103 ,  G06V10/776 ,  G06V10/761

Abstract: A person re-identification method, a storage medium, and a terminal device are provided. In the method, a preset ratio-based triplet loss function is used as a loss function during training The ratio-based triplet loss function limits a ratio of a positive sample feature distance to a negative sample feature distance to be less than a preset ratio threshold. The positive sample feature distance is a distance between a reference image feature and a positive sample image feature, and the negative sample feature distance is a distance between the reference image feature and a negative sample image feature. Compared with the existing absolute distance-based triplet loss function, in the case of small inter-class differences and large intra-class differences, the ratio-based triplet loss function can effectively improve the stability of model training, the features extracted by the trained model are more discriminative and robust, thereby improving the accuracy of person re-identification results.