Biologically Inspired Scene Estimation (BIS-E)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-11-M-0038
Agency Tracking Number: O102-L04-4274
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2010
Solicitation Topic Code: OSD10-L04
Solicitation Number: 2010.2
Small Business Information
Aptima, Inc.
12 Gill Street, Suite 1400, Woburn, MA, 01801
DUNS: 967259946
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Erik Schlicht
 Cognitive Scientist
 (781) 496-2454
 eschlicht@aptima.com
Business Contact
 Thomas McKenna
Title: Chief Financial Officer
Phone: (781) 496-2443
Email: mckenna@aptima.com
Research Institution
N/A
Abstract
Scene understanding is incredibly difficult, as it requires the recreation of a 3D environment from noisy 2D image data. Greedy approaches to estimating scene attributes are computationally expensive and are not sufficient for solving many real-world problems (e.g., detecting a suspect moving through a scene). Further complicating matters, is that different levels of detail/description are required for different tasks. Despite these challenges, biological systems have little difficulty efficiently describing scenes at multiple levels of detail. Therefore, our solution to this problem is a Biologically Inspired Scene Estimation (BIS-E) algorithm, which adaptively adjusts the features it uses through an optimal controller that balances the tradeoff between scene estimation uncertainty and computational cost. The result of this effort is a biologically-inspired algorithm that minimizes the computational cost associated with achieving the desired level of scene understanding.

* information listed above is at the time of submission.

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