Motion Estimation Based on Multiple Local Constraints and Nonlinear Smoothing

Abstract

A new algorithm for estimating motion from image sequences is presented. Initial motion estimates are determined based on at least-squares solution to a set of independent linear constraints on the motion at a pixel. These initial estimates are then improved by a nonlinear smoothing operation. The results of this algorithm are compared with those obtained by the Horn-Schunck algorithm on a number of image sequences.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1982
Accession Number
ADA124838

Entities

People

  • Kwangyoen Wohn
  • Larry S. Davis
  • Philip Thrift

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Boundaries
  • Computer Science
  • Computer Vision
  • Equations
  • Errors
  • Image Processing
  • Intensity
  • Iterations
  • Line Of Sight
  • Rotation
  • Sequences
  • Three Dimensional
  • Translations
  • Two Dimensional
  • Universities

Fields of Study

  • Mathematics

Readers

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