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Rapid anomaly detection and tracking via compressive time-spectra measurement

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
Program Year/Program:
2013 / STTR
Agency Tracking Number:
A2-5466
Solicitation Year:
2012
Solicitation Topic Code:
A12a-T007
Solicitation Number:
2012.A
Small Business Information
InView technology Corporation
8900 Shoal Creek Blvd, Suite 125 Austin, TX 78757-6840
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2013
Title: Rapid anomaly detection and tracking via compressive time-spectra measurement
Agency / Branch: DOD / ARMY
Contract: W911NF-14-C-0006
Award Amount: $374,541.00
 

Abstract:

The main goal of the Phase II program is to build and test an operational prototype compressive sensing (CS) camera capable of high-speed change detection. Based on the algorithmic development, hardware modeling and simulation achievements of Phase I, we have defined a real-time CS framework that will be implemented in Phase II in an operational prototype. This framework, similar to Phase I, begins with the high speed measurement capability of the CS platform and the programmability of the CS architecture that a digital micromirror array provides to implement the various measurement models. While data acquired in these models can be reconstructed into images to provide scene contextual information at selectable resolution, we concentrate in this proposal on the compressed domain data for high speed change detection based on the application of our Sum-to-One fast transform and Sparse-in-Time model statistics. We also investigate enhancement of these models using spectral domain measurement and unmixing techniques. In this proposal, we develop objectives for implementing the change detection computational framework in the CS spectral camera architecture developed in Phase I to achieve a Phase II high-speed change detection prototype that operates in the shortwave infrared.

Principal Investigator:

Lenore McMackin
CTO
(512) 243-8751
lenore.mcmackin@inviewcorp.com

Business Contact:

Bill Chatterjee
VP of Operations
(661) 609-0293
bill.chatterjee@inviewcorp.com
Small Business Information at Submission:

InView Technology Corporation
8900 Shoal Creek Blvd, Suite 125 Austin, TX 78757-

EIN/Tax ID: 270613581
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
William Marsh Rice University
MS 16, Allen Center 350
6100 Main Street
Houston, TX 77005-
Contact: Heidi Thornton
Contact Phone: (713) 348-6204