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:

Jan. 15, 2018
Applicant:

Brain Corporation, San Diego, CA (US);

Inventors:

Filip Piekniewski, San Diego, CA (US);

Micah Richert, San Diego, CA (US);

Dimitry Fisher, San Diego, CA (US);

Assignee:

Brain Corporation, San Diego, CA (US);

Attorneys:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/48 (2006.01); G06T 7/246 (2017.01); G06T 7/90 (2017.01); G06T 7/285 (2017.01); H04N 9/797 (2006.01); G06K 9/32 (2006.01); G06T 7/20 (2017.01); G06T 7/292 (2017.01); B25J 9/16 (2006.01); G01B 11/14 (2006.01); G06T 3/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/4671 (2013.01); B25J 9/1664 (2013.01); B25J 9/1697 (2013.01); G01B 11/14 (2013.01); G06K 9/00624 (2013.01); G06K 9/00664 (2013.01); G06K 9/3241 (2013.01); G06K 9/4623 (2013.01); G06K 9/4642 (2013.01); G06K 9/4652 (2013.01); G06K 9/48 (2013.01); G06T 3/00 (2013.01); G06T 7/20 (2013.01); G06T 7/246 (2017.01); G06T 7/285 (2017.01); G06T 7/292 (2017.01); G06T 7/90 (2017.01); H04N 9/7973 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/20164 (2013.01); G06T 2207/30241 (2013.01); G06T 2215/16 (2013.01); Y10S 901/09 (2013.01); Y10S 901/47 (2013.01);
Abstract

Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.


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