MICHAEL DAVID JOHNSON
Pilots at 263 Ln, Redmond, WA

License number
Washington A3506398
Issued Date
May 2015
Expiration Date
May 2017
Category
Airmen
Type
Authorized Aircraft Instructor
Address
Address
2001 263Rd Ln SE, Redmond, WA 98075

Professional information

Michael Johnson Photo 1

Michael Johnson - Redmond, WA

Work:
AMRI
IT Support Administrator
Independent IT Consultant - Redmond, WA The ABS Companies - Bellevue, WA
Regional IT Administrator
Education:
Fisheries Biology - Humboldt State University - Arcata, CA
Bachelor of Science


Michael Johnson Photo 2

Validation Analysis Of Human Target

US Patent:
2013025, 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.