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:
Jan. 29, 2019

Filed:

Oct. 27, 2016
Applicant:

Xerox Corporation, Norwalk, CT (US);

Inventors:

Prathosh A. Prasad, Karnataka, IN;

Sanjay Bharadwaj, Karnataka, IN;

Pragathi Praveena, Karnataka, IN;

Tejaskumar Dipaklal Bengali, Karnataka, IN;

Satish Prasad Rath, Karnataka, IN;

Himanshu Jayantkumar Madhu, Maharashtra, IN;

Assignee:

Xerox Corporation, Norwalk, CT (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06T 5/00 (2006.01); A61B 5/00 (2006.01); A61B 5/024 (2006.01); A61B 5/08 (2006.01); A61B 5/11 (2006.01); A61B 5/113 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 5/0022 (2013.01); A61B 5/0077 (2013.01); A61B 5/024 (2013.01); A61B 5/08 (2013.01); A61B 5/1102 (2013.01); A61B 5/113 (2013.01); A61B 5/1128 (2013.01); A61B 5/742 (2013.01); G06T 5/002 (2013.01); G06T 7/2033 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20024 (2013.01); G06T 2207/30048 (2013.01);
Abstract

What is disclosed is a system and method for processing a video to extract a periodic signal which was captured by the video imaging device. One embodiment involves the following. First, a video of a subject in a scene is received. The video is acquired by a video imaging device. There is an underlying motion signal in the scene corresponding to cardiac or respiratory function. A time-series signal is generated for each pixel or for each group of pixels in a temporal direction across a plurality of image frames. Time-series signals of interest are selected. The selected time-series signals of interest are then processed to obtain a periodic signal corresponding to cardiac or respiratory function. The present method has a low computational complexity, is robust in the presence of noise, and finds its uses in applications requiring real-time motion quantification of a signal in a video.


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