Coarse to over-fine optical flow estimation

Tomer Amiaz, Eyal Lubetzky, Nahum Kiryati

Research output: Contribution to journalArticlepeer-review

Abstract

We present a readily applicable way to go beyond the accuracy limits of current optical flow estimators. Modern optical flow algorithms employ the coarse to fine approach. We suggest to upgrade this class of algorithms, by adding over-fine interpolated levels to the pyramid. Theoretical analysis of the coarse to over-fine approach explains its advantages in handling flow-field discontinuities and simulations show its benefit for sub-pixel motion. By applying the suggested technique to various multi-scale optical flow algorithms, we reduced the estimation error by 10-30% on the common test sequences. Using the coarse to over-fine technique, we obtain optical flow estimation results that are currently the best for benchmark sequences.

Original languageEnglish (US)
Pages (from-to)2496-2503
Number of pages8
JournalPattern Recognition
Volume40
Issue number9
DOIs
StatePublished - Sep 2007

Keywords

  • Optical flow

ASJC Scopus subject areas

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

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