AN A.I. APPROACH FOR TARGET RECOGNITION IN REAL BATTLE ENVIRONMENTS

Award Information
Agency:
Department of Defense
Amount:
$555,394.00
Program:
SBIR
Contract:
N/A
Solitcitation Year:
N/A
Solicitation Number:
N/A
Branch:
Navy
Award Year:
1985
Phase:
Phase II
Agency Tracking Number:
134
Solicitation Topic Code:
N/A
Small Business Information
Lnk Corp
302 Notley Court, Silver Spring, MD, 20904
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
N/A
Principal Investigator
 () -
Business Contact
 Barbara A. Lambird
Phone: (301) 927-3223
Research Institution
N/A
Abstract
RESEARCH IS NEEDED TO DEVELOP ALGORITHMS THAT ARE CAPABLE OF TARGET RECOGNITION IN REAL BATTLEFIELD ENVIRONMENTS. L.N.K. CORPORATION PROPOSES TO INVESTIGATE AN ARTIFICAL INTELLIGENCE TECHNIQUE WHOSE INFERENCE MECHANISM IS NON-DIRECTIONAL (BOTH GOAL-DIRECTED AND DATA-CONFIRMED) FOR RECOGNITION OF TARGETS IN IMAGES. THE ALGORITHM MEETS FOUR CRITERIA: 1) AMBIGUOUS INTERPRETATIONS ARE ALLOWED AND ARE DEVELOPED IN A BEST-FIRST MANNER. THUS, MULTIPLE CONTACTS OF TARGETS ARE RECOGNIZED IN A BEST-FIRST SEQUENCE. 2) GOAL-DRIVEN OR TOP-DOWN OPERATIONS ARE AVAILABLE TO MAKE HYPOTHESES FROM MODELS. 3) BOTTOMUP OPERATORS ARE AVAILBE TO INITIATE RECOGNITION, IF EVIDENCE IS PRESENT IN THE DATA. 4) THE ANALYSIS OF THE IMAGE CAN PRECEDE IN A NON-SEQUENTIAL FASHION THROUGH THE IMAGE, TO OPTIMIZE RELIABILITY OF RECOGNITION OF PARTIALLY OCCULUDED OBJECTS IS POSSIBLE BECAUSE AN OBJECT IS MODELED BY A HIERARCHY OF SUBSTRUCTURES. A PARALLEL IMPLEMENTATION OF THE

* information listed above is at the time of submission.

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