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:
Apr. 14, 2020

Filed:

Mar. 01, 2018
Applicant:

Ramot AT Tel Aviv University Ltd., Tel Aviv, IL;

Inventors:

Lior Wolf, Herzliya, IL;

Assaf Mushinsky, Tel Aviv, IL;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/66 (2006.01); G06N 3/04 (2006.01); G06N 5/04 (2006.01); G06T 7/70 (2017.01);
U.S. Cl.
CPC ...
G06K 9/6274 (2013.01); G06K 9/00228 (2013.01); G06K 9/46 (2013.01); G06K 9/4628 (2013.01); G06K 9/6202 (2013.01); G06K 9/6268 (2013.01); G06K 9/6281 (2013.01); G06K 9/66 (2013.01); G06N 3/0454 (2013.01); G06N 5/046 (2013.01); G06T 7/70 (2017.01); G06T 2207/20084 (2013.01);
Abstract

A convolutional neural network system for detecting at least one object in at least one image. The system includes a plurality of object detectors, corresponding to a predetermined image window size in the at least one image. Each object detector is associated with a respective down-sampling ratio with respect to the at least one image. Each object detector includes a respective convolutional neural network and an object classifier coupled with the convolutional neural network. The respective convolutional neural network includes a plurality of convolution layers. The object classifier classifies objects in the image according to the results from the convolutional neural network. Object detectors associated with the same respective down-sampling ratio define at least one group of object detectors. Object detectors in a group of object detectors being associated with common convolution layers.


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