Reliable optical flow estimation in motion-blurred regions

Yeong Jun Koh, Chul Lee, Jae Young Sim, Chang-Su Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A robust optical flow estimation algorithm for motion-blurred regions is proposed in this work. We first obtain initial optical flow vectors. Then, we detect motion-blurred regions that yield low contrast, low saturation, and inconsistent optical flow vectors. We replace the optical flow vectors at motion-blurred pixels with reliable vectors at nearby unblurred pixels. To this end, we develop an energy minimization framework. Simulation results demonstrate that the proposed algorithm refines optical flow vectors in motion-blurred regions accurately and provides better performance than conventional algorithms.

Original languageEnglish
Title of host publication2013 IEEE International Workshop on Multimedia Signal Processing, MMSP 2013
Pages396-401
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 IEEE 15th International Workshop on Multimedia Signal Processing, MMSP 2013 - Pula, Sardinia, Italy
Duration: 2013 Sep 302013 Oct 2

Publication series

Name2013 IEEE International Workshop on Multimedia Signal Processing, MMSP 2013

Other

Other2013 IEEE 15th International Workshop on Multimedia Signal Processing, MMSP 2013
CountryItaly
CityPula, Sardinia
Period13/9/3013/10/2

Keywords

  • Optical flow estimation
  • graph cuts optimization
  • motion blur
  • motion estimation

ASJC Scopus subject areas

  • Signal Processing

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  • Cite this

    Koh, Y. J., Lee, C., Sim, J. Y., & Kim, C-S. (2013). Reliable optical flow estimation in motion-blurred regions. In 2013 IEEE International Workshop on Multimedia Signal Processing, MMSP 2013 (pp. 396-401). [6659321] (2013 IEEE International Workshop on Multimedia Signal Processing, MMSP 2013). https://doi.org/10.1109/MMSP.2013.6659321