Estimation of Motion Parameters from Image Sequences

Abstract

The image motion analysis algorithms that generate the two dimensional velocity of objects in a sequence of images are developed. The algorithms considered consist of: the parallel extended Kalman filter method; the spatiotemporal gradient methods; the spatiotemporal frequency methods; and the one-dimensional FFT methods. These algorithms are designed to perform on low signal to noise ratio images. Each of these algorithms is applied to a sequence of computer generated images with varying signal to noise ratios. Simulations are used to evaluate the performance of each algorithm. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA246135

Entities

People

  • Fatih Ildiz

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computer Vision
  • Computers
  • Digital Images
  • Electrical Engineering
  • Engineering
  • Filters
  • Frequency
  • Frequency Domain
  • Image Processing
  • Kalman Filters
  • Mathematical Filters
  • Signal Processing
  • Simulations
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Engineering
  • Physics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Medical Imaging.