Object/Target Discrimination, Recognition, and Identification

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$149,071.00
Award Year:
2004
Program:
SBIR
Phase:
Phase I
Contract:
N68335-05-C-0010
Agency Tracking Number:
N043-233-0086
Solicitation Year:
2004
Solicitation Topic Code:
N04-233
Solicitation Number:
2004.3
Small Business Information
AEROSPACE MASS PROPERTIES ANALYSIS, INC.
214 North Main Street, North Wales, PA, 19454
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
039026588
Principal Investigator:
Samuel Zimmerman
Senior Project Engineer
(215) 699-0622
sozimmerman@comcast.net
Business Contact:
Rudolph Lucente
President
(215) 699-0622
ampac@comcast.net
Research Institution:
n/a
Abstract
AMPAC, under contract to the Navy, has developed a deterministic, software-only Decoy Detection Algorithm, based on a mathematically proven if-and-only-if theorem, which uses mathematical concepts that rely on geometric features (points and lines) to deduce planar qualities - object is 2-dimensional or not. It uses linear algebra on small matrices (~ 20 x 20) and is mathematically exact - limited only by image resolution and quality. The algorithm requires two sets of correlated straight line segment endpoint data obtained from two images of the object of interest taken from sufficiently different perspectives. It has been developed to be used with EO sensors, is based on the pin-hole camera model, and is applicable to visible bands, IR, UV, etc. No pre-mission object data is required: databases, templates, etc. No camera data - location, orientation, construction - is required. Images do not need to be orthorectified. A prototype software system (where a human operator specifies the object of interest) is being developed to accept images from a host/sensor, generate inputs for the Decoy Detection Algorithm, call that algorithm to obtain an answer, and then pass that answer to the host/operator.

* information listed above is at the time of submission.

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