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:
Oct. 20, 2020

Filed:

Jun. 19, 2018
Applicant:

Baidu Online Network Technology (Beijing) Co., Ltd., Haidian District, Beijing, CN;

Inventors:

Han Gao, Beijing, CN;

Ji Wan, Beijing, CN;

Tian Xia, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06N 3/04 (2006.01); G06T 7/246 (2017.01); G06K 9/46 (2006.01); G06N 5/04 (2006.01); G06T 7/00 (2017.01); G06N 3/08 (2006.01); G06K 9/20 (2006.01); G06F 17/16 (2006.01); G06T 7/11 (2017.01);
U.S. Cl.
CPC ...
G06T 7/251 (2017.01); G06F 17/16 (2013.01); G06K 9/00295 (2013.01); G06K 9/2054 (2013.01); G06K 9/46 (2013.01); G06K 9/6212 (2013.01); G06K 9/6215 (2013.01); G06N 3/0454 (2013.01); G06N 3/08 (2013.01); G06N 5/046 (2013.01); G06T 7/11 (2017.01); G06T 7/246 (2017.01); G06T 7/97 (2017.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

The present disclosure provides a multiple targets-tracking method and apparatus, a device and a storage medium, wherein the method comprises: obtaining a to-be-processed current image, inputting the current image into a convolutional neural network model obtained by pre-training, and obtaining a target detection result; respectively extracting feature vectors of each detected target from a pre-selected convolutional layer; respectively calculating a similarity between the feature vectors of each target in the current image and feature vectors of each target of previous images, completing association of the same target between different image frames according to calculation results, and allocating a tracking serial number. The solution of the present disclosure may be applied to meet requirements for real-time processing.


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