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. 22, 2019

Filed:

Oct. 01, 2018
Applicant:

Texas Instruments Incorporated, Dallas, TX (US);

Inventors:

Yingmao Li, Allen, TX (US);

Vikram VijayanBabu Appia, San Jose, CA (US);

Ziguo Zhong, Allen, TX (US);

Tarek Aziz Lahlou, Plano, TX (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06N 7/00 (2006.01); G06N 3/08 (2006.01); G06T 1/20 (2006.01); G06K 9/46 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6292 (2013.01); G06K 9/4652 (2013.01); G06K 9/6202 (2013.01); G06N 3/08 (2013.01); G06N 7/005 (2013.01); G06T 1/20 (2013.01);
Abstract

An image classification system includes a convolutional neural network, a confidence predictor, and a fusion classifier. The convolutional neural network is configured to assign a plurality of probability values to each pixel of a first image of a scene and a second image of the scene. Each of the probability values corresponds to a different feature that the convolutional neural network is trained to identify. The confidence predictor is configured to assign a confidence value to each pixel of the first image and to each pixel of the second image. The confidence values correspond to a greatest of the probability values generated by the convolutional neural network for each pixel. The fusion classifier is configured to assign, to each pixel of the first image, a feature that corresponds to a higher of the confidence values assigned to the pixel of the first image and the second image.


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