New Techniques for Tracking Sequences of Digitized Images.

Abstract

In Chapter 1, the research objectives are outlined, the image tracking task is defined, and the component parts of a generalized image-tracking system are discussed. Chapter 2 presents as background material a summary of applications for image tracking systems, and some classical similarity detection techniques. In Chapter 3, a two-dimensional signal-to-noise ratio is developed for minimum norm similarity detectors and an upper bound is developed and experimentally verified for the probability of error associated with a particular type of misregistration. Chapter 4 presents three techniques for enhancing the signal-to-noise ratio, Chapter 5 presents an adaptive Kalman filter which is shown to be very helpful in reducing misregistration errors, and Chapter 6 develops and analyzes the performance of an integrated tracking algorithm which incorporates a complementary set of component algorithms. Chapter 7 provides a summary of this research and some suggestions for future work.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1979
Accession Number
ADA069996

Entities

People

  • Llewellyn S. Dougherty

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Change Detection
  • Computational Science
  • Data Science
  • Detection
  • Detectors
  • Estimators
  • Guidance
  • Image Registration
  • Images
  • Information Processing
  • Information Science
  • Kalman Filters
  • Mathematical Filters
  • Pattern Recognition
  • Random Variables
  • Statistical Algorithms

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Business Analytics
  • Computer Vision.