USA flag logo/image

An Official Website of the United States Government

Performance Modeling of Feature Aided Trackers

Award Information

Agency:
Department of Defense
Branch:
N/A
Award ID:
Program Year/Program:
2011 / SBIR
Agency Tracking Number:
F103-192-2631
Solicitation Year:
2010
Solicitation Topic Code:
AF103-192
Solicitation Number:
2010.3
Small Business Information
Etegent Technologies, LTD
1775 Mentor Avenue Suite 302 Cincinnati, OH 45212-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2011
Title: Performance Modeling of Feature Aided Trackers
Agency: DOD
Contract: FA8650-11-M-1123
Award Amount: $99,732.00
 

Abstract:

The bandwidth of current and future image analysts is insufficient to ingest the vast quantity of data generated by staring sensing platforms. Because of this, signature exploitation algorithms need to play a role in the data processing chain to cue analysts to specific regions of interest within the imagery. For systems which utilize exploitation algorithms, there is a need to understand the ability and limitations under various conditions. We propose a feature aided tracker that is able to model its performance based on the current operating conditions. This performance model is a crucial component of any layered sensing architecture. BENEFIT: EO based tracking algorithms for security applications, crowd monitoring, consumer characterization, and traffic flow analysis all suffer from limited self diagnostics. Algorithms which are able to predict performance corresponding to specific operating conditions would be able to 1)optimize sensor collection 2)mitigate false alarms 3)allow fuzzy decision making and 4)allocate additional resources when needed.

Principal Investigator:

Adam Nolan
Chief Technical Officer
(513) 631-0579
adam.nolan@etegent.com

Business Contact:

Stuart Shelley
Principle
(513) 631-0579
stuart.shelley@etegent.com
Small Business Information at Submission:

Sheet Dynamics, Limited
1775 Mentor Avenue Suite 302 Cincinnati, OH -

EIN/Tax ID: 311476846
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No