A static architecture for compressive target tracking

Phillip K. Poon, Daniel Townsend, Scott Wehrwein, ESTEBAN MAURICIO VERA ROJAS, Michael D. Stenner, Michael E. Gehm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Traditional approaches to persistent surveillance generate prodigious amounts of data, stressing storage, communication, and analysis systems. As such, they are well suited for compressed sensing (CS) concepts. Existing demonstrations of compressive target tracking have utilized time-sequences of random patterns, an approach that is sub-optimal for real world dynamic scenes. We have been investigating an alternative architecture that we term SCOUT-the Static Computational Optical Undersampled Tracker-which uses a pair of static masks and a defocused detector to acquire a small number of measurements in parallel. We will report on our working prototypes that have demonstrated successful target tracking at 16x compression.

Original languageEnglish
Title of host publicationAirborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX
DOIs
StatePublished - 1 Dec 2012
EventAirborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX - Baltimore, MD, United States
Duration: 24 Apr 201226 Apr 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8360
ISSN (Print)0277-786X

Conference

ConferenceAirborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications IX
CountryUnited States
CityBaltimore, MD
Period24/04/1226/04/12

Keywords

  • coded aperture
  • compressive sensing
  • imaging systems
  • target tracking

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