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:
Sep. 20, 2016

Filed:

Jul. 25, 2012
Applicants:

Shinko Y. Cheng, Campbell, CA (US);

Yuri Owechko, Newbury Park, CA (US);

Swarup Medasani, Thousand Oaks, CA (US);

Inventors:

Shinko Y. Cheng, Campbell, CA (US);

Yuri Owechko, Newbury Park, CA (US);

Swarup Medasani, Thousand Oaks, CA (US);

Assignee:

HRL Laboratories, LLC, Malibu, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06K 9/46 (2006.01); G06K 9/66 (2006.01); G06K 9/68 (2006.01); G06K 9/70 (2006.01); G06N 99/00 (2010.01);
U.S. Cl.
CPC ...
G06K 9/6257 (2013.01); G06K 9/6217 (2013.01); G06N 99/005 (2013.01);
Abstract

The present invention relates to a classifier cascade object detection system. The system operates by inputting an image patch into parallel feature generation modules, each of the feature generation modules operable for extracting features from the image patch. The features are provided to an opportunistic classifier cascade, the opportunistic classifier cascade having a series of classifier stages. The opportunistic classifier cascade is executed by progressively evaluating, in each classifier in the classifier cascade, the features to produce a response, with each response progressively utilized by a decision function to generate a stage response for each classifier stage. If each stage response exceeds a stage threshold then the image patch is classified as a target object, and if the stage response from any of the decision functions does not exceed the stage threshold, then the image patch is classified as a non-target object.


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