Accession Number : AD1008565

Title :   Rapid Anomaly Detection and Tracking via Compressive Time-Spectra Measurement

Descriptive Note : STTR Report,05 Nov 2013,04 Nov 2015

Corporate Author : InView Technology Corporation Austin United States

Personal Author(s) : McMackin,Lenore ; Herman,Matthew A ; Weston,Tyler ; Kelly,Kevin

Full Text :

Report Date : 12 Feb 2016

Pagination or Media Count : 81

Abstract : This report describes the results of a two-year Phase II STTR program undertaken by InView in partnership with Rice University to develop a compressive sensing based imager with high speed anomaly detection capability. During this period, novel multi-channel compressive sensing measurement patterns and detector geometries were developed along with statistical methods for performing anomaly detection on data in the compressed domain. Detection performance was analyzed using receiver operating characteristic and precision recall curves. New concepts, algorithms and techniques were simulated and tested experimentally using specially modified compressive sensing cameras under laboratory conditions. It was found that the number of measurements needed for anomaly detection was far less than the number of measurements needed for compressive imaging, validating high speed system operation.

Descriptors :   compressed sensing , high velocity , algorithms , cameras , image processing

Distribution Statement : APPROVED FOR PUBLIC RELEASE