Sensor Exploitation by Adaptive/Learning Systems (SEALS)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-06-C-1001
Agency Tracking Number: F051-219-0501
Amount: $745,473.00
Phase: Phase II
Program: SBIR
Awards Year: 2006
Solitcitation Year: 2005
Solitcitation Topic Code: AF05-219
Solitcitation Number: 2005.1
Small Business Information
SIGNAL INNOVATIONS GROUP, INC.
4309 Emperor Blvd. Suite 350, Durham, NC, 27703
Duns: 147201342
Hubzone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Paul Runkle
 COO/President
 (919) 323-3454
 runkle@siginnovations.com
Business Contact
 Samantha Venters
Title: CFO
Phone: (919) 323-3453
Email: sventers@siginnovations.com
Research Institution
N/A
Abstract
Signal Innovations Group (SIG) and its Fast Track partner, Integrian (www.integrian.com), propose development of an adaptive video sensing system, with a focus on intelligence, surveillance, and reconnaissance (ISR). The proposed adaptive system is applicable for ISR in general environments, addressing base and port security, as well as urban and suburban sensing during wartime and peace-keeping operations. Of significant importance for current and anticipated DoD activities, the proposed system will focus on detecting asymmetric threats, with the goal of recognizing unusual behavior or activities. Specifically, we must detect unusual events that may never have been observed previously. Therefore, rather then addressing the impossible task of training an algorithm on events that we may never observe a priori, the ISR system will focus on learning and modeling the characteristics of normal or typical behavior. This motivates development of graphical statistical models, such as hidden Markov models (HMMs), based on measured data characteristic of normal behavior. The graphical models will be employed within a partially observable Markov decision process (POMDP) algorithm, to develop an optimal policy for multi-sensor control and management. In this Phase II effort, SIG will develop and demonstrate real-time event detection algorithms on a multi-sensor Integrian video platform.

* information listed above is at the time of submission.

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