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Computational Methods for Dynamic Scene Reconstruction

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-16-P-2040
Agency Tracking Number: N16A-017-0114
Amount: $79,858.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N16A-T017
Solicitation Number: 2016.0
Solicitation Year: 2016
Award Year: 2016
Award Start Date (Proposal Award Date): 2016-07-11
Award End Date (Contract End Date): 2017-05-10
Small Business Information
600 West Cummings Park
Woburn, MA 01801
United States
DUNS: 964928464
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Tom Pollard
 (781) 503-3287
Business Contact
 Melissa Joyce
Phone: (781) 305-4054
Research Institution
 University of Maryland
 Katie McKeon
Office of Research Administration
College Park, MD 20742
United States

 (301) 405-6274
 Nonprofit College or University

The ubiquity of high-resolution imagery and video taken by surveillance cameras, handheld cameras, vehicle-mounted cameras, and airborne cameras is creating a rich source of dynamic data that offers opportunities for effectively solving defense, security and law enforcement problems. But in order to develop effective scene and activity understanding applications we must develop robust, accurate and efficient capabilities to correlate huge volumes of imagery in space and time to turn disparate imagery into meaningful 4D models that characterize moving objects relative to their 3D world. Systems & Technology Research (STR) has teamed with University of Maryland (UMD) and Vision Systems Inc (VSI) to develop a robust and accurate user-oriented 4D modeling capability from multiple EO/IR sensor feeds. STR and VSI previously developed a prototype 3D visualization system, on a DARPA seedling program, to form a foundation for this project. Under this STTR we will (1) automate our baseline multi-view 3D reconstruction processing for dynamically changing scenes, (2) assess the performance of UMDs moving object detection and tracking algorithms for ground-based moving cameras, and (3) extend and analyze 4D visualization techniques for compact and informative semantic object attributes across space and time.

* Information listed above is at the time of submission. *

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