Estimating optical flow by integrating multi-frame information

Chia Ming Wang, Kuo Chin Fan, Cheng Tzu Wang

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


In this paper, we develop two methods for estimating optical flow across multiframes in an image sequence. The rationale of our proposed methods is based on integrating temporal information from the reference image and its previous and next several images. The difference between the two methods lies mainly on the modeling in utilizing multiple images. The proposed methods can be applied to each point independently, and hence is suitable for many image-based applications. Experiments were conducted on various image sequences and the results show that using multiple frames can indeed reduce the estimation error significantly, especially at those points that possess good features.

Original languageEnglish
Pages (from-to)1719-1731
Number of pages13
JournalJournal of Information Science and Engineering
Issue number6
StatePublished - Nov 2008


  • Constant motion model
  • First order approximation
  • Gradient-based
  • Multi-frame
  • Optical flow estimation


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