Optical flow estimation

D. Fleet, Y. Weiss

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

262 Scopus citations

Abstract

This chapter provides a tutorial introduction to gradient-based optical flow estimation. We discuss least-squares and robust estimators, iterative coarse-to-fine refinement, different forms of parametric motion models, different conservation assumptions, probabilistic formulations, and robust mixture models.

Original languageAmerican English
Title of host publicationHandbook of Mathematical Models in Computer Vision
PublisherSpringer US
Pages237-257
Number of pages21
ISBN (Print)0387263713, 9780387263717
DOIs
StatePublished - 2006

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