Michael R Menefee

US Patent:

8319846, Nov 27, 2012

Filed:

Jan 11, 2007

Appl. No.:

11/622417

Inventors:

Alan G. Silver - Allen TX, US
Michael C. Menefee - Richardson TX, US

Assignee:

Raytheon Company - Waltham MA

International Classification:

H04N 5/225
H04N 7/00

US Classification:

3482181, 348 38

Abstract:

According to one embodiment of the present disclosure, a system for generating a reconstructed image generally includes a carrier substrate, a number of image sensors, and an image processing circuit. The image sensors are mounted on a surface of the carrier substrate. The image processing circuit is coupled to each of the image sensors and operable to receive a raw image from each of a plurality of image sensors and combine the raw image of each of the image sensors into the reconstructed image.

US Patent:

8325136, Dec 4, 2012

Filed:

Dec 1, 2009

Appl. No.:

12/628852

Inventors:

Aaron C. Wilkinson - Plano TX, US
Michael C. Menefee - Richardson TX, US

Assignee:

Raytheon Company - Waltham MA

International Classification:

G06F 3/033
G09G 5/08

US Classification:

345158

Abstract:

According to one embodiment, a computer display pointer device includes an image processor coupled to a display and a video camera. The display is configured to be worn by a user and display a computer image over a portion of the user's field-of-view. The video camera is operable to be worn by the user and boresighted to a field-of-view of the user. The image processor receives a video signal from the video camera that includes an image of a pointer element configured on a hand of the user, determines a position of the pointer element according to the received video image, and moves a cursor on the display according to the position of the pointer element.

US Patent:

20140040001, Feb 6, 2014

Filed:

Oct 4, 2013

Appl. No.:

14/046792

Inventors:

Samuel N. Brown - Dallas TX, US
David S. Sink - Dallas TX, US
Aaron Wilkinson - Plano TX, US
Michael Menefee - Richardson TX, US
Mark S. Saum - Plano TX, US
Colm Bergin - Dallas TX, US
Bruce Parker - Richardson TX, US
Ralf Erich Schulz - San Francisco CA, US
Jon Buell - Dallas TX, US
Jason Fisher - Plano TX, US

Assignee:

ModoPayment, LLC - Richardson TX

International Classification:

G06Q 30/02

US Classification:

705 1426, 705 41, 705 1433

Abstract:

A system for combining a payment mechanism with an offer to a consumer is described. The system includes a virtual payment account number generation engine to generate virtual payment account numbers that can be used by a consumer in a payment transaction at a merchant, the virtual payment account number generation service also operable to take a portion of the virtual payment account number and send it as a checkout code to a consumer using the consumer's mobile device, and an offer generation engine used to set rules for an offer to be sent to consumers, create a fund for the offer, and determine individual consumer's eligibility for the offer. The offer is associated with the checkout code such that the offer is processed as part of the payment during the payment transaction using the virtual payment account number.

US Patent:

20210374393, Dec 2, 2021

Filed:

Jun 14, 2021

Appl. No.:

17/347351

Inventors:

- Wilmington DE, US
Dallas Nash - Frisco TX, US
Michael Menefee - Richardson TX, US

International Classification:

G06K 9/00
G06K 9/62
G06N 3/08
G06T 17/00
G06N 20/00

Abstract:

Methods, devices and systems for training a pattern recognition system are described. In one example, a method for training a sign language translation system includes generating a three-dimensional (3D) scene that includes a 3D model simulating a gesture that represents a letter, a word, or a phrase in a sign language. The method includes obtaining a value indicative of a total number of training images to be generated, using the value indicative of the total number of training images to determine a plurality of variations of the 3D scene for generating of the training images, applying each of plurality of variations to the 3D scene to produce a plurality of modified 3D scenes, and capturing an image of each of the plurality of modified 3D scenes to form the training images for a neural network of the sign language translation system.

US Patent:

20200387697, Dec 10, 2020

Filed:

Dec 30, 2019

Appl. No.:

16/730587

Inventors:

- Wilmington DE, US
Dallas Nash - Frisco TX, US
Michael Menefee - Richardson TX, US

International Classification:

G06K 9/00
G06N 3/08
G06F 3/01
G09B 21/00
G06F 40/40
G06F 40/58
G10L 15/26
G06F 3/16
G10L 15/22
G10L 15/24
H04N 5/247
G06T 7/73
G06N 3/04
G06T 7/20

Abstract:

Disclosed are methods, apparatus and systems for real-time gesture recognition. One exemplary method for the real-time identification of a gesture communicated by a subject includes receiving, by a first thread of the one or more multi-threaded processors, a first set of image frames associated with the gesture, the first set of image frames captured during a first time interval, performing, by the first thread, pose estimation on each frame of the first set of image frames including eliminating background information from each frame to obtain one or more areas of interest, storing information representative of the one or more areas of interest in a shared memory accessible to the one or more multi-threaded processors, and performing, by a second thread of the one or more multi-threaded processors, a gesture recognition operation on a second set of image frames associated with the gesture.

US Patent:

20200126250, Apr 23, 2020

Filed:

May 23, 2019

Appl. No.:

16/421158

Inventors:

- Arlington TX, US
Dallas Nash - Frisco TX, US
Michael Menefee - Richardson TX, US

International Classification:

G06T 7/73
G06N 3/04
G06T 7/20
G06K 9/00
G06F 3/01
G06F 3/03

Abstract:

Disclosed are methods, apparatus and systems for gesture recognition based on neural network processing. One exemplary method for identifying a gesture communicated by a subject includes receiving a plurality of images associated with the gesture, providing the plurality of images to a first 3-dimensional convolutional neural network (3D CNN) and a second 3D CNN, where the first 3D CNN is operable to produce motion information, where the second 3D CNN is operable to produce pose and color information, and where the first 3D CNN is operable to implement an optical flow algorithm to detect the gesture, fusing the motion information and the pose and color information to produce an identification of the gesture, and determining whether the identification corresponds to a singular gesture across the plurality of images using a recurrent neural network that comprises one or more long short-term memory units.

US Patent:

20200034609, Jan 30, 2020

Filed:

May 13, 2019

Appl. No.:

16/410147

Inventors:

- Arlington TX, US
Dallas Nash - Frisco TX, US
Michael Menefee - Richardson TX, US

International Classification:

G06K 9/00
G06K 9/62
G06N 3/08
G06T 17/00
G06N 20/00

Abstract:

Methods, devices and systems for training a pattern recognition system are described. In one example, a method for training a sign language translation system includes generating a three-dimensional (3D) scene that includes a 3D model simulating a gesture that represents a letter, a word, or a phrase in a sign language. The method includes obtaining a value indicative of a total number of training images to be generated, using the value indicative of the total number of training images to determine a plurality of variations of the 3D scene for generating of the training images, applying each of plurality of variations to the 3D scene to produce a plurality of modified 3D scenes, and capturing an image of each of the plurality of modified 3D scenes to form the training images for a neural network of the sign language translation system.

US Patent:

20190332419, Oct 31, 2019

Filed:

Jul 8, 2019

Appl. No.:

16/505484

Inventors:

- Arlington TX, US
Dallas Nash - Frisco TX, US
Michael Menefee - Richardson TX, US

International Classification:

G06F 9/48
G06N 3/04
G06F 3/01
G06K 9/00
G06T 1/20
G06N 3/08
G06F 9/38
G06N 20/00

Abstract:

Disclosed are methods, apparatus and systems for improving data management and workload distribution in pattern recognition systems. An example method of managing data for a sign language translation system includes receiving multiple sets of data acquired by one or more data acquisition devices. Each set of data including an image frame that illustrates at least a part of a gesture. The method includes determining, for each of the multiple sets of data, a plurality of attribute values defined by a customized template. The method includes accessing the multiple sets of data, by a plurality of processing units, based on a location indicated by the attributes for recognizing the at least a part of a gesture.