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. 11, 2024

Filed:

May. 09, 2022
Applicant:

Objectvideo Labs, Llc, Tysons, VA (US);

Inventors:

Narayanan Ramanathan, Chantilly, VA (US);

Gang Qian, McLean, VA (US);

Eduardo Romera Carmena, Madrid, ES;

Donald Gerard Madden, Columbia, MD (US);

Allison Beach, Leesburg, VA (US);

Assignee:

ObjectVideo Labs, LLC, Tysons, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 7/18 (2006.01); G06T 7/20 (2017.01); G06V 20/52 (2022.01); G08B 13/196 (2006.01);
U.S. Cl.
CPC ...
G06V 20/52 (2022.01); G06T 7/20 (2013.01); G08B 13/19602 (2013.01); H04N 7/188 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/30232 (2013.01);
Abstract

Disclosed are methods, systems, and apparatus for adjusting areas of interest for motion detection in camera scenes. A method includes obtaining a map of false motion event detections using a first area of interest; identifying an overlap area between the map of false detections and the first area of interest; determining a second area of interest that includes portions of the first area of interest and excludes at least a part of the overlap area; obtaining a map of true motion event detections using the first area of interest; determining whether true detections using the second area of interest compared to true detections using the first area of interest satisfies performance criteria; and in response to determining that true detections using the second area of interest compared to true detections using the first area of interest satisfies performance criteria, providing the second area of interest for use in detecting events.


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