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:
Jul. 23, 2024

Filed:

May. 18, 2020
Applicant:

Teledyne Flir Commercial Systems, Inc., Goleta, CA (US);

Inventors:

Brower A. Dimond, Jr., Santa Barbara, CA (US);

Pierre M. Boulanger, Goleta, CA (US);

Justin Muncaster, Goleta, CA (US);

James Klingshirn, Goleta, CA (US);

Kedar Babu Madineni, Goleta, CA (US);

Louis Tremblay, Goleta, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/00 (2022.01); G06N 3/045 (2023.01); G06V 10/25 (2022.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06V 20/00 (2022.01); G06N 3/045 (2023.01); G06V 10/25 (2022.01); G06V 20/41 (2022.01);
Abstract

High resolution image target classification systems and methods include a proposal component configured to receive a first set data associated with a scene, the first set of data including at least one image of the scene, a multistage neural network comprising a plurality of neural networks, each neural network trained to receive a region of interest and output an object classification in accordance with an associated resource allocation, and an attention coordinator configured to determine regions of interest in the image and allocate each determined region to one of the plurality of neural networks from the multi-scale neural network, in accordance with available system resources. The system may be configured to optimize a probability of detecting objects in the image, while minimizing a number of pixels processed through the multi-scale neural network.


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