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. 11, 2018

Filed:

Nov. 14, 2016
Applicant:

Beijing University of Posts and Telecommunications, Beijing, CN;

Inventors:

Huadong Ma, Beijing, CN;

Wu Liu, Beijing, CN;

Xinchen Liu, Beijing, CN;

Haitao Zhang, Beijing, CN;

Huiyuan Fu, Beijing, CN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/32 (2006.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); G06F 17/30 (2006.01);
U.S. Cl.
CPC ...
G06K 9/325 (2013.01); G06F 17/30253 (2013.01); G06F 17/30256 (2013.01); G06K 9/00771 (2013.01); G06K 9/6215 (2013.01);
Abstract

The present application discloses a vehicle searching method and device, which can perform the steps of: calculating an appearance similarity distance between a first image of a target vehicle and several second images containing the searched vehicle; selecting several images from the several second images as several third images; obtaining corresponding license plate features of license plate areas in the first image and each of the third images with a preset Siamese neural network model; calculating a license plate feature similarity distance between the first image and each of the third images according to license plate feature; calculating a visual similarity distance between the first image and each of the third images according to the appearance similarity distance and the license plate feature similarity distance; obtaining a the first search result of the target vehicle by arranging the several third images in an ascending order of the visual similarity distances. The solution provided by the present application is not limited by application scenes, and it also improves vehicle searching speed and accuracy while reducing requirements of hardware such as cameras that collect images of a vehicle and auxiliary devices.


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