The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Dec. 07, 2021

Filed:

Mar. 09, 2020
Applicants:

Tongji University, Shanghai, CN;

Hefei University of Technology, Hefei, CN;

Beijing E-hualu Info Technology Co., Ltd., Beijing, CN;

Inventors:

Deshuang Huang, Shanghai, CN;

Sijia Zheng, Shanghai, CN;

Zhongqiu Zhao, Hefei, CN;

Xinyong Zhao, Beijing, CN;

Jianhong Sun, Beijing, CN;

Yang Zhao, Beijing, CN;

Yongjun Lin, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 20/00 (2019.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06T 3/60 (2006.01); G06T 5/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/00369 (2013.01); G06K 9/00771 (2013.01); G06K 9/46 (2013.01); G06N 20/00 (2019.01); G06T 3/60 (2013.01); G06T 5/002 (2013.01);
Abstract

The invention relates to a method for person re-identification based on deep model with multi-loss fusion training strategy. The method uses a deep learning technology to perform preprocessing operations such as flipping, clipping, random erasing and style transfer, and then feature extraction is performed through a backbone network model; joint training of a network is performed by fusing a plurality of loss functions. Compared with other deep learning-based person re-identification algorithms, the present invention greatly improves the performance of person re-identification by adopting a plurality of preprocessing modes, the fusion of three loss functions and effective training strategy.


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