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. 22, 2020

Filed:

Sep. 10, 2018
Applicant:

Samsung Electronics Co., Ltd., Suwon-si, KR;

Inventors:

Alok Shankarlal Shukla, Bengaluru, IN;

Mahesh Putane Jagadeeshrao, Bengaluru, IN;

Nitin Kumar Singh, Bengaluru, IN;

Divay Bhutani, Bengaluru, IN;

Nitin Kamboj, Bengaluru, IN;

Manoj Kumar Marram Reddy, Bengaluru, IN;

Prasanna Kumar Avanigadda, Bengaluru, IN;

Sanket Sambhajirao Deshmukh, Bengaluru, IN;

Insung Hwang, Suwon-si, KR;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/194 (2017.01); G06K 9/00 (2006.01); G06T 5/00 (2006.01); G06T 7/521 (2017.01); G06N 3/02 (2006.01); G06T 5/20 (2006.01); G06N 20/00 (2019.01); G06K 9/62 (2006.01); G06T 7/11 (2017.01); G06K 9/34 (2006.01);
U.S. Cl.
CPC ...
G06T 7/194 (2017.01); G06K 9/00228 (2013.01); G06K 9/00362 (2013.01); G06K 9/629 (2013.01); G06N 3/02 (2013.01); G06N 20/00 (2019.01); G06T 5/002 (2013.01); G06T 5/003 (2013.01); G06T 5/20 (2013.01); G06T 7/11 (2017.01); G06T 7/521 (2017.01); G06K 9/342 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30201 (2013.01);
Abstract

An electronic device and a method for human segmentation in an image are provided. The method includes obtaining the image comprising at least one human, performing face detection to detect the human in the image, generating a first human segmentation from the image by comparing a pre-defined full human body template and the detected human, generating a second human segmentation from the image, by inputting the image to an artificial intelligence trained model and obtaining a composite human segmentation representing the detected human by using both of the first human segmentation and the second human segmentation.


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