Rapid anomaly detection and tracking via compressive time-spectra measurement

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911NF-14-C-0006
Agency Tracking Number: A2-5466
Amount: $374,541.00
Phase: Phase II
Program: STTR
Awards Year: 2013
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, -
DUNS: 832874916
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Lenore McMackin
 CTO
 (512) 243-8751
 lenore.mcmackin@inviewcorp.com
Business Contact
 Bill Chatterjee
Title: VP of Operations
Phone: (661) 609-0293
Email: bill.chatterjee@inviewcorp.com
Research Institution
 William Marsh Rice University
 Heidi Thornton
 MS 16, Allen Center 350
6100 Main Street
Houston, TX, 77005-
 (713) 348-6204
 Nonprofit college or university
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.

* information listed above is at the time of submission.

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