Wavelet-based optical flow estimation

Li Fen Chen*, Hong Yuan Mark Liao, Chih-Ching Lin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

A new algorithm for accurate optical flow (OF) estimation using discrete wavelet approximation is proposed. The computation of OF depends on minimizing the image and smoothness constraints. The proposed method takes advantages of the nature of wavelet theory, which can efficiently and accurately approximate any function. OF vectors and image functions are represented by means of linear combinations of scaling basis functions. Based on such wavelet-based approximation, the leading coefficients of these basis functions carry global information about the approximated functions. The proposed method can successfully convert the problem of minimizing a constraint function into that of solving a linear system of a quadratic and convex function of scaling coefficients. Once all the corresponding coefficients are determined, the flow vectors can be obtained accordingly. Experiments have been conducted on both synthetic and real image sequences. In terms of accuracy, the results show that our approach outperforms the existing methods which adopted the same objective function as ours.

Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume12
Issue number1
DOIs
StatePublished - 7 Aug 2002

Keywords

  • Optical flow estimation
  • Scaling basis function
  • Wavelets

Fingerprint Dive into the research topics of 'Wavelet-based optical flow estimation'. Together they form a unique fingerprint.

Cite this