Optical Flow of Small Objects Using Wavelets, Bootstrap Methods, and Synthetic Discriminant Filters

Abstract

The the look down shoot down scenario, the next generation of air to surface missiles will rely on IR sensors and advanced signal processing to detect small (or point) targets in highly cluttered and noisy environments. In this paper; we present a novel wavelet detection algorithm which incorporates adaptive CFAR detection statistics using the bootstrap method. Following detection, the estimate of interframe optical flow is made using synthetic discriminant filters (SDF's). The detection coupled with the new optical flow estimate will enable higher performance in tracking small maneuverable targets. Results for the wavelet bootstrap detection are presented and compared to a conventional matched filter.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1997
Accession Number
ADA356414

Entities

People

  • Alan Van Nevel
  • Gary A. Hewer
  • Larry Peterson
  • Wei Kuo

Organizations

  • Naval Air Warfare Center Weapons Division

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Data Sets
  • Databases
  • Detection
  • Detectors
  • False Alarms
  • Filters
  • Filtration
  • Frequency
  • Image Processing
  • Information Science
  • Infrared Detectors
  • Matched Filters
  • Pattern Recognition
  • Probability
  • Urban Areas
  • Warning Systems

Readers

  • Image Processing and Computer Vision.
  • Sensor Fusion and Tracking Systems.
  • Statistical inference.