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.
Patent No.:
Date of Patent:
Jul. 02, 2019
Filed:
Mar. 03, 2017
Applicant:
Brigham Young University, Provo, UT (US);
Inventors:
Randal W. Beard, Orem, UT (US);
Peter C. Niedfeldt, Provo, UT (US);
James K. Ingersoll, Snohomish, WA (US);
Patrick Defranco, Missouri City, TX (US);
Assignee:
Brigham Young University, Provo, UT (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); H04N 7/18 (2006.01); H04N 5/232 (2006.01); G06K 9/62 (2006.01); G06K 9/40 (2006.01); G06T 7/254 (2017.01); G06T 7/292 (2017.01); G06T 7/277 (2017.01); B64C 39/02 (2006.01); G06K 9/46 (2006.01); G06K 9/32 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00771 (2013.01); B64C 39/024 (2013.01); G06K 9/00651 (2013.01); G06K 9/40 (2013.01); G06K 9/46 (2013.01); G06K 9/6202 (2013.01); G06K 9/6211 (2013.01); G06T 7/254 (2017.01); G06T 7/277 (2017.01); G06T 7/292 (2017.01); H04N 5/23258 (2013.01); H04N 5/23267 (2013.01); H04N 7/181 (2013.01); H04N 7/183 (2013.01); H04N 7/185 (2013.01); B64C 2201/127 (2013.01); B64C 2201/141 (2013.01); G06K 2009/3291 (2013.01); G06K 2209/21 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10032 (2013.01); G06T 2207/30212 (2013.01); G06T 2207/30232 (2013.01);
Abstract
For automated detection and tracking of multiple targets, an apparatus, method, and program product are disclosed. The apparatus includes a camera that captures video data and a processor that compensates for camera motion in the video data, processes the compensated video data to remove noise and spurious returns, detects one or more targets within the processed video data, and identifies target information for each target in the processed video data.