Enhancement and fusion of data for concealed weapon detection

Mohamed A. Slamani, Liane C. Ramac, Mucahit K. Uner, Pramod K. Varshney, Donald D. Weiner, Mark G. Alford, David D. Ferris, Vincent C. Vannicola

Research output: Chapter in Book/Entry/PoemConference contribution

19 Scopus citations

Abstract

A wide variety of concealed weapon detection systems are being investigated to determine the potential payoffs of employing these sensors to detect weapons concealed under a person's clothing. The enabling sensing mechanisms being studied include infrared, acoustic, millimeter wave, and X- ray sensors. The primary emphasis of this paper is on infrared. A new technique for processing sensor data by partitioning non-homogeneous images into homogeneous regions for later detection and identification processing is presented. The name of this method is Automated Statistical Characterization and Partitioning of Environments (A'SCAPE). A'SCAPE enables image enhancement for reliable detection and identification of weapons concealed under varying layers of clothing through its mapping process. By employing a variety of sensors, another enabling technology for concealed weapon detection (CWD) is sensor fusion. Concepts for experiments and analysis are discussed to determine the feasibility of sensor fusion approaches for CWD.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages8-19
Number of pages12
ISBN (Print)0819424838, 9780819424839
DOIs
StatePublished - 1997
Externally publishedYes
EventSignal Processing, Sensor Fusion, and Target Recognition VI - Orlando, FL, USA
Duration: Apr 21 1997Apr 24 1997

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume3068
ISSN (Print)0277-786X

Other

OtherSignal Processing, Sensor Fusion, and Target Recognition VI
CityOrlando, FL, USA
Period4/21/974/24/97

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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