Spencer D Perreault

US Patent:

20120159290, Jun 21, 2012

Filed:

Dec 17, 2010

Appl. No.:

12/972341

Inventors:

Jon D. Pulsipher - North Bend WA, US
Parham Mohadjer - Redmond WA, US
Nazeeh Amin ElDirghami - Redmond WA, US
Shao Liu - Bellevue WA, US
Patrick Orville Cook - Monroe WA, US
James Chadon Foster - Redmond WA, US
Szymon P. Stachniak - Kirkland WA, US
Tommer Leyvand - Seattle WA, US
Joseph Bertolami - Seattle WA, US
Michael Taylor Janney - Sammamish WA, US
Kien Toan Huynh - Redmond WA, US
Charles Claudius Marais - Duvall WA, US
Spencer Dean Perreault - Bellevue WA, US
Robert John Fitzgerald - Kirkland WA, US
Wayne Richard Bisson - Seattle WA, US
Craig Carroll Peeper - Kirkland WA, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06F 11/07

US Classification:

714819, 714E11024

Abstract:

Technology for testing a target recognition, analysis, and tracking system is provided. A searchable repository of recorded and synthesized depth clips and associated ground truth tracking data is provided. Data in the repository is used by one or more processing devices each including at least one instance of a target recognition, analysis, and tracking pipeline to analyze performance of the tracking pipeline. An analysis engine provides at least a subset of the searchable set responsive to a request to test the pipeline and receives tracking data output from the pipeline on the at least subset of the searchable set. A report generator outputs an analysis of the tracking data relative to the ground truth in the at least subset to provide an output of the error relative to the ground truth.

US Patent:

20130251204, Sep 26, 2013

Filed:

May 17, 2013

Appl. No.:

13/896598

Inventors:

Parham Mohadjer - Redmond WA, US
Nazeeh Amin ElDirghami - Redmond WA, US
Shao Liu - Bellevue WA, US
Patrick Orville Cook - Monroe WA, US
James Chadon Foster - Redmond WA, US
Szymon P. Stachniak - Kirkland WA, US
Tommer Leyvand - Seattle WA, US
Joseph Bertolami - Seattle WA, US
Michael Taylor Janney - Sammamish WA, US
Kien Toan Huynh - Redmond WA, US
Charles Claudius Marais - Duvall WA, US
Spencer Dean Perreault - Bellevue WA, US
Robert John Fitzgerald - Kirkland WA, US
Wayne Richard Bisson - Seattle WA, US
Craig Carroll Peeper - Kirkland WA, US
Michael Johnson - Redmond WA, US

Assignee:

MICROSOFT CORPORATION - Redmond WA

International Classification:

G06T 7/00

US Classification:

382103

Abstract:

Technology for testing a target recognition, analysis, and tracking system is provided. A searchable repository of recorded and synthesized depth clips and associated ground truth tracking data is provided. Data in the repository is used by one or more processing devices each including at least one instance of a target recognition, analysis, and tracking pipeline to analyze performance of the tracking pipeline. An analysis engine provides at least a subset of the searchable set responsive to a request to test the pipeline and receives tracking data output from the pipeline on the at least subset of the searchable set. A report generator outputs an analysis of the tracking data relative to the ground truth in the at least subset to provide an output of the error relative to the ground truth.

US Patent:

20150326799, Nov 12, 2015

Filed:

May 7, 2014

Appl. No.:

14/272386

Inventors:

- Redmond WA, US
Spencer Dean Perreault - Bellevue WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

H04N 5/33
H04N 5/232
H04N 5/235
H04N 5/357

Abstract:

Various embodiments relating to reducing camera interference are disclosed. In one embodiment, an infrared image of a scene may be received from a camera that emits infrared light. An interference condition likely to degrade infrared performance of one or more proximate infrared devices may be recognized. Responsive to recognizing the interference condition, an instruction to mitigate the interference condition may be output.

US Patent:

20150288866, Oct 8, 2015

Filed:

Apr 8, 2014

Appl. No.:

14/247334

Inventors:

- Redmond WA, US
Tommer Leyvand - Seattle WA, US
Spencer Perreault - Bellevue WA, US
Robert Smith - Seattle WA, US
Michael Hall - Bellevue WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

H04N 5/232
H04N 5/247
H04N 5/33

Abstract:

Techniques for automatically selecting from amongst a plurality of camera views available in a multi-camera system. In an aspect, one or more metrics are calculated for a plurality of camera views. The metrics may be used to identify one or more of the camera views as fulfilling a condition, in response to which a particular one of the camera views may be selected for display. For example, in a “select-better-view” strategy, the camera view associated with a more optimal image (e.g., better lighting, or absence of occlusion) is selected for display. In a “flag-diagnostic-view” strategy, the camera view associated with a less optimal image is displayed, e.g., to indicate that a particular camera may require user attention. Specific techniques for calculating metrics are further disclosed.