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Biologically Inspired Scene Estimation (BIS-E)

Award Information

Department of Defense
Office of the Secretary of Defense
Award ID:
Program Year/Program:
2010 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
OSD 10-L04
Solicitation Number:
Small Business Information
Aptima, Inc.
12 Gill Street Suite 1400 Woburn, MA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2010
Title: Biologically Inspired Scene Estimation (BIS-E)
Agency / Branch: DOD / OSD
Contract: N00014-11-M-0038
Award Amount: $100,000.00


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.

Principal Investigator:

Erik Schlicht
Cognitive Scientist

Business Contact:

Thomas McKenna
Chief Financial Officer
Small Business Information at Submission:

Aptima, Inc.
12 Gill Street Suite 1400 Woburn, MA 01801

EIN/Tax ID: 043281859
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No