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:
Oct. 24, 2023

Filed:

Aug. 31, 2021
Applicant:

Northwestern University, Evanston, IL (US);

Inventors:

Srutarshi Banerjee, Chicago, IL (US);

Henry H. Chopp, Glencoe, IL (US);

Juan Gabriel Serra Pérez, Evanston, IL (US);

Zihao Wang, Evanston, IL (US);

Oliver Strider Cossairt, Evanston, IL (US);

Aggelos K. Katsaggelos, Chicago, IL (US);

Assignee:

Northwestern University, Evanston, IL (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 10/25 (2022.01); G06T 7/277 (2017.01); H04N 19/96 (2014.01); H04N 19/176 (2014.01); H04N 19/46 (2014.01); H04N 19/132 (2014.01); H04N 19/147 (2014.01); H04N 19/167 (2014.01); H04N 7/18 (2006.01); G06V 20/52 (2022.01); H04N 23/61 (2023.01); H04N 23/60 (2023.01);
U.S. Cl.
CPC ...
G06V 10/25 (2022.01); G06T 7/277 (2017.01); G06V 20/52 (2022.01); H04N 7/183 (2013.01); H04N 7/188 (2013.01); H04N 19/132 (2014.11); H04N 19/147 (2014.11); H04N 19/167 (2014.11); H04N 19/176 (2014.11); H04N 19/46 (2014.11); H04N 19/96 (2014.11); H04N 23/61 (2023.01); H04N 23/64 (2023.01); G06T 2207/20084 (2013.01); G06T 2207/20192 (2013.01); G06T 2207/30232 (2013.01);
Abstract

A system to process imaging data includes an imaging system configured to capture image data and event data of a scene, compress the image data and the event data, and transmit the compressed image data and compressed event data to a host. The host is operatively coupled to the imaging system, and includes a processor configured to perform object detection on the compressed image data and the compressed event data to identify one or more objects. The processor is also configured to perform object tracking on the one or more objects. The processor is also configured to predict one or more regions of interest for subsequent data capture based on the object detection and the object tracking. The processor is further configured to provide the one or more regions of interest to the imaging system to control capture of additional image data and additional event data by the imaging system.


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