Long Wavelength Video-Based Event Detection, Preliminary Results from the CVNX and VS1 Test Series, Ex-USS SHADWELL, April 7-25, 2003

Abstract

This report documents results from long wavelength-response, or night vision video detection (LWVD) of fire, smoke, and hot objects obtained during the CVNX and VS1 Test Series. The cameras demonstrated thermal imaging capabilities and an enhanced sensitivity to flaming fires and other hot objects when compared to co-located regular video cameras. Video event detection with long wavelength cameras is discussed and compared with the results of video event detection systems using regular cameras. For quantitative comparison to the commercial video-based fire detection systems, a simple luminosity-based algorithm was developed and used to evaluate camera/filter combinations for fire, smoke, and nuisance (false) event detection and response times. The LWVD system provides higher detection sensitivity but also more false alarms when compared to regular video detection systems. The thermal imaging capabilities of the LWVD system are evaluated based on comparison with temperature measurements of a fire-heated bulkhead and a laboratory blackbody emitter. Good agreement is obtained for hot objects at temperatures above 400 deg C.

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Document Details

Document Type
Technical Report
Publication Date
Dec 30, 2003
Accession Number
ADA423240

Entities

People

  • Christian P. Minor
  • Daniel A. Steinhurst
  • Daniel T. Gottuk
  • Jeffrey C. Owrutsky
  • Susan L. Rose-Pehrsson

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Sensors

DTIC Thesaurus Topics

  • Charge Coupled Devices
  • Computers
  • Detection
  • Detectors
  • Event Detection
  • False Alarms
  • Graphical User Interface
  • Long Wavelengths
  • Near Infrared Radiation
  • Operating Systems
  • Optical Detectors
  • Remote Sensing
  • Research Facilities
  • Video Cameras
  • Video Frames
  • Video Images
  • Warning Systems

Readers

  • Computer Vision.
  • Fire Suppression Systems Design.
  • Sensor Fusion and Tracking Systems.