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. 02, 2020

Filed:

Jun. 03, 2016
Applicant:

University of Connecticut, Farmington, CT (US);

Inventors:

Bahram Javidi, Storrs Mansfield, CT (US);

Pedro Latorre Carmona, Castellón de la Plana, ES;

Eva Salvador Balaguer, Castellón de la Plana, ES;

Fiberto Pla Bañon, Castellón de la Plana, ES;

Assignee:

University of Connecticut, Farmington, CT (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 13/275 (2018.01); G06K 9/62 (2006.01); H04N 13/243 (2018.01); H04N 13/282 (2018.01); G06K 9/00 (2006.01); G06K 9/46 (2006.01); G06K 9/20 (2006.01); H04N 13/232 (2018.01); G06T 7/73 (2017.01); G06F 3/01 (2006.01); G06K 9/32 (2006.01);
U.S. Cl.
CPC ...
H04N 13/275 (2018.05); G06F 3/017 (2013.01); G06K 9/00355 (2013.01); G06K 9/209 (2013.01); G06K 9/4676 (2013.01); G06K 9/6269 (2013.01); G06T 7/73 (2017.01); H04N 13/232 (2018.05); H04N 13/243 (2018.05); H04N 13/282 (2018.05); G06K 2009/3291 (2013.01); G06K 2209/40 (2013.01); G06T 2200/21 (2013.01); G06T 2207/10052 (2013.01); G06T 2207/30196 (2013.01);
Abstract

The present disclosure includes systems and methods for detecting and recognizing human gestures or activity in a group of 3D volumes using integral imaging. In exemplary embodiments, a camera array including multiple image capturing devices captures multiple images of a point-of-interest in a 3D scene. The multiple images can be used to reconstruct a group of 3D volumes of the point-of-interest using the images. The system detects spatiotemporal interest points (STIPs) in the group of 3D volumes and assigns descriptors to each of the plurality of STIPs. The descriptors are quantized into a number of visual words to create clusters of the group of 3D volumes. The system builds a histogram for each of the visual words. Each 3D volume is classified using the histogram of the plurality of visual words, implying the classification of a human gesture in each 3D volumes.


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