Biologically Inspired Scene Estimation (BIS-E)

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$100,000.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
N00014-11-M-0038
Agency Tracking Number:
O102-L04-4274
Solicitation Year:
n/a
Solicitation Topic Code:
OSD 10-L04
Solicitation Number:
n/a
Small Business Information
Aptima, Inc.
12 Gill Street, Suite 1400, Woburn, MA, 01801
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
967259946
Principal Investigator:
Erik Schlicht
Cognitive Scientist
(781) 496-2454
eschlicht@aptima.com
Business Contact:
Thomas McKenna
Chief Financial Officer
(781) 496-2443
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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