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:
Aug. 15, 2017

Filed:

Mar. 19, 2015
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Niall Cahill, Galway, IE;

Hugh M. Carr, County Wicklow, IE;

Mark Y. Kelly, Leixlip, IE;

Keith Nolan, Mullingar, IE;

Aurelian V. Lazarut, Athy, IE;

Keith A. Ellis, Carlow, IE;

Ronan J. O'Malley, County Mayo, IE;

Assignee:

INTEL CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04R 5/00 (2006.01); G09F 27/00 (2006.01); H04R 3/00 (2006.01); G01S 3/80 (2006.01); G01S 3/801 (2006.01); G01S 3/808 (2006.01);
U.S. Cl.
CPC ...
H04R 3/005 (2013.01); G01S 3/80 (2013.01); G01S 3/801 (2013.01); G01S 3/8083 (2013.01);
Abstract

Techniques are disclosed for scene analysis including the use of acoustic imaging and computer audio vision processes for monitoring applications. In some embodiments, an acoustic image device is utilized with a microphone array, image sensor, acoustic image controller, and a controller. In some cases, the controller analyzes at least a portion of the spatial spectrum within the acoustic image data to detect sound variations by identifying regions of pixels having intensities exceeding a particular threshold. In addition, the controller can detect two or more co-occurring sound events based on the relative distance between pixels with intensities exceeding the threshold. The resulting data fusion of image pixel data, audio sample data, and acoustic image data can be analyzed using computer audio vision, sound/voice recognition, and acoustic signature techniques to recognize/identify audio and visual features associated with the event and to empirically or theoretically determine one or more conditions causing each event.


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