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Robust Track Association and Fusion with Extended Feature Matching

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
77494
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
A062-146-3039
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Intelligent Automation, Inc.
15400 Calhoun Drive Suite 400 Rockville, MD 20855-2737
View profile »
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2006
Title: Robust Track Association and Fusion with Extended Feature Matching
Agency / Branch: DOD / ARMY
Contract: W9113M-07-C-0008
Award Amount: $70,000.00
 

Abstract:

We propose a highly innovative agent based robust distributed data fusion architecture and algorithm that incorporates target features and attributes including extended feature points via junction matching. There are several innovative components in our approach: 1) our robust fusion architecture and algorithm consider target recognition and tracking jointly with a general class of target signatures including extended feature points. The fusion algorithm is also applicable to hierarchical and hybrid tracking configurations. The data to be processed and fused can be of different types, such as, raw feature measurements, local tracks, processed measurements such as target IDs. 2) Our data fusion algorithms explicitly account for the uncertainty of measurement and/or track origins due to the lack of true target identity in the sensor reports or local tracks. The hypothesis testing procedure to combine sensor/source data into tracks directly incorporates target features and attributes as well as target classification outputs from local data processors. It extends the multiple hypotheses tracking framework with efficient multi-frame data association algorithm to provide close-to-the-best measurement/track-to-target correspondences. 3) Our data fusion architecture considers extended feature points of an object in the feature space and allows the feature matching with rigid body constraints.

Principal Investigator:

Leonard Haynes
President
3012945250
lhaynes@i-a-i.com

Business Contact:

Mark James
Contracts & Proposals Manager
3012945221
mjames@i-a-i.com
Small Business Information at Submission:

INTELLIGENT AUTOMATION, INC.
15400 Calhoun Drive, Suite 400 Rockville, MD 20855

EIN/Tax ID: 521497192
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No