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:
Feb. 01, 2022

Filed:

Dec. 27, 2017
Applicant:

Peking University Shenzhen Graduate School, Shenzhen, CN;

Inventors:

Wenmin Wang, Shenzhen, CN;

Yihao Zhang, Shenzhen, CN;

Ronggang Wang, Shenzhen, CN;

Ge Li, Shenzhen, CN;

Shengfu Dong, Shenzhen, CN;

Zhenyu Wang, Shenzhen, CN;

Ying Li, Shenzhen, CN;

Wen Gao, Shenzhen, CN;

Assignee:

Peking University, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06K 9/56 (2006.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06K 9/00362 (2013.01); G06K 9/6215 (2013.01); G06K 9/6232 (2013.01); G06K 9/6261 (2013.01); G06N 20/00 (2019.01);
Abstract

An image feature extraction method for person re-identification includes performing person re-identification by means of aligned local descriptor extraction and graded global feature extraction; performing the aligned local descriptor extraction by processing an original image by affine transformation and performing a summation pooling operation on image block features of same regions to obtain an aligned local descriptor; reserving spatial information between inner blocks of the image for the aligned local descriptor; and performing the graded global feature extraction by grading a positioned pedestrian region block and solving a corresponding feature mean value to obtain a global feature. The method can resolve the problem of feature misalignment caused by posture changes of pedestrian, etc., and eliminate the effect of unrelated backgrounds on re-recognition, thus improving the precision and robustness of person re-identification.


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