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:
Jun. 30, 2020

Filed:

Feb. 14, 2019
Applicant:

Hrl Laboratories, Llc, Malibu, CA (US);

Inventors:

Yang Chen, Westlake Village, CA (US);

Deepak Khosla, Camarillo, CA (US);

Ryan M. Uhlenbrock, Camarillo, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/32 (2006.01); G06K 9/46 (2006.01); G06K 9/62 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00805 (2013.01); G06K 9/00744 (2013.01); G06K 9/3233 (2013.01); G06K 9/3241 (2013.01); G06K 9/469 (2013.01); G06K 9/6274 (2013.01); G06K 9/6292 (2013.01); G06N 3/08 (2013.01);
Abstract

Described is an object recognition system. Using an integral channel features (ICF) detector, the system extracts a candidate target region (having an associated original confidence score representing a candidate object) from an input image of a scene surrounding a platform. A modified confidence score is generated based on a location and height of detection of the candidate object. The candidate target regions are classified based on the modified confidence score using a trained convolutional neural network (CNN) classifier, resulting in classified objects. The classified objects are tracked using a multi-target tracker for final classification of each classified object as a target or non-target. If the classified object is a target, a device can be controlled based on the target.


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