Feature point tracking in time-varying images

Paul M. Griffin, Sherri L. Messimer

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

This paper examines the problem of tracking feature points in dynamic imagery. Two types of imaging geometries are examined: orthographic projection and perspective projection. In each case, the goal is to perform the feature point tracking with a minimal number of images. The feature point tracking problem is shown to be intractable and a grddey heuristic is presented.

Original languageEnglish (US)
Pages (from-to)843-848
Number of pages6
JournalPattern Recognition Letters
Volume11
Issue number12
DOIs
StatePublished - Dec 1990

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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