Benefits of Photosimulation and Sensor Fusion for Threat Detection

Abstract

Visible infrared (IR) and sensor-fused imagery of scenes that contain occluded camouflaged threats were compared for hit and miss differences in the probability of detection of objects. Response times were also measured. Image fusion was achieved using a Gaussian Laplacian pyramidal approach with wavelets for edge enhancement. Three types of images were also ranked in terms of better probability of detection of concealed weapons. Detecting potential threats that are camouflaged or difficult to see is important not only for military acquisition problems but, also for crowd surveillance as well as tactical use such as on border patrols. Imaging and display technologies that take advantage of sensor fusion are discussed in this paper.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2003
Accession Number
ADA456808

Entities

People

  • D. Bednarz
  • D. Bryk
  • E. J. Sohn
  • Elena Bankowski
  • K. Lane
  • R. Jozwiak
  • T. Meitzler

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Contrast
  • Data Science
  • Data Sets
  • Detection
  • Detectors
  • Experimental Design
  • Information Science
  • Light Armored Vehicles
  • Magnetic Resonance
  • Operations Security
  • Probability
  • Rocket Propelled Grenades
  • Security
  • Sensor Fusion
  • Small Arms
  • Statistical Analysis
  • Vehicles

Readers

  • Computer Vision.
  • Sensor Fusion and Tracking Systems.