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David B Fleet, 433164 Fern Nook Ave, Henderson, NV 89052

Known as:
Dave Fleet Benjamin Fleet
Related to:
Megan S Powell 54

David Fleet Phones & Addresses

Henderson, NV   

Las Vegas, NV   

Los Angeles, CA   

Rotonda West, FL   

San Francisco, CA   

Niantic, CT   

Marlborough, CT   

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David Fleet resumes & CV records

Resumes

David Fleet Photo 27

Front Of House Engineer And Monitor Engineer

Location:
3164 Fern Nook Ave, Henderson, NV
Industry:
Entertainment
Work:
Cirque du Soleil - Las Vegas since Nov 2012
Audio Technician War Horse National Tour Apr 2012 - Nov 2012
Head Audio/A1 Blue Man Group Dec 2011 - Apr 2012
Production Sound Engineer/Audio Consultant Soul Doctor - Miami/Fort Lauderdale Area Dec 2011 - Jan 2012
A1/Associate Designer S.I.R. Los Angeles - Hollywood Sep 2011 - Dec 2011
Sound Engineer Blue Man Group National Tour Jul 2010 - Sep 2011
Head Audio South Pacific National Tour May 2010 - Jun 2010
A2- Deck Sound Engineer Hairspray National Tour 2007 - 2010
A1- FOH Mixer
Education:
Full Sail University 2000 - 2001
Associates of Science, Recording Arts
Skills:
Sound, Audio Engineering, Foh, Theatre, Mixer, Sound Design, Musical Theatre, Live Sound, Recording, Sound Reinforcement, Stage, Theatrical Production, Pro Tools, Professional Audio, Sound Editing, Studio Recording, Stage Lighting, Stage Management, Audio Post Production, Production, Audio, Audio Mixing
David Fleet Photo 28

David Van Fleet

Publications & IP owners

Us Patents

System And Method For Editing Electronic Images

US Patent:
6903751, Jun 7, 2005
Filed:
Mar 22, 2002
Appl. No.:
10/104805
Inventors:
Eric Saund - San Carlos CA, US
Thomas P. Moran - Palo Alto CA, US
Daniel L. Larner - San Jose CA, US
James V. Mahoney - Palo Alto CA, US
David J. Fleet - Menlo Park CA, US
Ashok C. Popat - San Carlos CA, US
Assignee:
Xerox Corporation - Stamford CT
International Classification:
G09G005/00
US Classification:
345619
Abstract:
A graphical input and display system for creating and manipulating electronic images includes input devices permitting a user to manipulate elements of electronic images received from various image input sources. A processor, connected to the system, receives requests for various image editing operations and also accesses a memory structure. The system memory structure includes a user interaction module, which allows a user to enter new image material or select and modify existing image material to form primary image objects, as well as a grouping module, which maintains an unrestricted grouping structure, an output module, and data memory.

Visual Motion Analysis Method For Detecting Arbitrary Numbers Of Moving Objects In Image Sequences

US Patent:
6954544, Oct 11, 2005
Filed:
May 23, 2002
Appl. No.:
10/155815
Inventors:
Allan D. Jepson - Oakville, CA
David J. Fleet - Menlo Park CA, US
Michael J. Black - Menlo Park CA, US
Assignee:
Xerox Corporation - Stamford CT
International Classification:
G06K009/00
US Classification:
382107, 348155
Abstract:
A visual motion analysis method that uses multiple layered global motion models to both detect and reliably track an arbitrary number of moving objects appearing in image sequences. Each global model includes a background layer and one or more foreground “polybones”, each foreground polybone including a parametric shape model, an appearance model, and a motion model describing an associated moving object. Each polybone includes an exclusive spatial support region and a probabilistic boundary region, and is assigned an explicit depth ordering. Multiple global models having different numbers of layers, depth orderings, motions, etc. , corresponding to detected objects are generated, refined using, for example, an EM algorithm, and then ranked/compared. Initial guesses for the model parameters are drawn from a proposal distribution over the set of potential (likely) models. Bayesian model selection is used to compare/rank the different models, and models having relatively high posterior probability are retained for subsequent analysis.

Robust, On-Line, View-Based Appearance Models For Visual Motion Analysis And Visual Tracking

US Patent:
7058205, Jun 6, 2006
Filed:
Dec 7, 2001
Appl. No.:
10/016659
Inventors:
Allan D. Jepson - Oakville, CA
David J. Fleet - Menlo Park CA, US
Thomas F. El-Maraghi - Toronto, CA
Assignee:
Xerox Corporation - Stamford CT
International Classification:
G06K 9/00
US Classification:
382103
Abstract:
A robust, adaptive, appearance model is disclosed that includes both a stable model component, learned over a long time course, and a transient component, learned over a relatively short time course (e. g. , a 2-frame motion component and/or an outlier processing component). An on-line EM-algorithm is used to adapt the appearance model parameters over time. An implementation of this approach is developed for an appearance model based on the filter responses from a steerable pyramid. The appearance model is used in a motion-based tracking algorithm to provide robustness in the face of image outliers, such as those caused by occlusions. It is also provides the ability to adapt to natural changes in appearance, such as those due to facial expressions, or variations in 3D pose.

Method And System For Interpreting Imprecise Object Selection Paths

US Patent:
7093202, Aug 15, 2006
Filed:
Mar 22, 2002
Appl. No.:
10/104523
Inventors:
Eric Saund - San Carlos CA, US
Edward Lank - San Francisco CA, US
David J. Fleet - Menlo Park CA, US
James V. Mahoney - Palo Alto CA, US
Daniel L. Larner - San Jose CA, US
Thomas P. Moran - Palo Alto CA, US
Assignee:
Xerox Corporation - Stamford CT
International Classification:
G06F 3/00
G06T 11/20
US Classification:
715863, 715764, 345442
Abstract:
A graphical input and display system having a user interface for selecting and creating image object elements includes input devices permitting a user to manipulate elements of electronic images. A processor, connected to the system, receives requests for various image object selection operations and also accesses a memory structure. The system memory structure includes a user interaction module, which allows a user to select image objects, an image object selection module for interpreting imprecise image object selection paths, and data memory.

Possible Relatives

Deborah A Fleet  Elizabeth K Fleet  Fred A Fleet  Gerald M Fleet  Gordon R Fleet  Gretchen S Fleet  James W Fleet  David Last  David W Johnson  David Stamps 

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