Recognizing Target Variants Using Transformational Adaptivity

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$749,989.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
FA8650-06-C-1014
Agency Tracking Number:
F051-219-2008
Solicitation Year:
2005
Solicitation Topic Code:
AF05-219
Solicitation Number:
2005.1
Small Business Information
GENERAL INTELLIGENCE CORP.
PO Box 7380, Bozeman, MT, 59771
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
192266224
Principal Investigator:
David Arathorn
Pres
(406) 582-1884
dwa@giclab.com
Business Contact:
David Arathorn
Pres
(406) 582-1884
dwa@giclab.com
Research Institution:
n/a
Abstract
Target variation presents a challenge for Automatic Target Recognition (ATR) based on fixed models or signatures. In Phase I General Intelligence refined and applied an extension of the map-seeking circuit (MSC) architecture to recognize articulations, plausible morphs and aggregations of target models. The extended MSC architecture implements a process termed “transformational adaptivity,” building on MSC’s capability in recognizing 3D targets from any viewpoint, tolerating clutter and distractors anywhere in the field of view including near the target, up to a substantial degree of occlusion. In Phase II GIC proposes to further extend the capability developed in Phase I to include potentially weapon-bearing targets of signficantly greater articulation and variation of surface form. While the mechanism refined in Phase I is tied to a particular kinematic model, the mechanism to be developed in Phase II, like human visual cognition, is extensible to far more complex configurations. In addition, a pre-processing stage will be developed to handle relative scene-camera motion and adaptively handle a much wider variety of input image conditions. A parallel objective of Phase II is to develop the image registration capability of MSC (which is the basis of handling relative scene-camera motion) for AFRL and GIC applications.

* information listed above is at the time of submission.

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