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 Sept 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
    Country/TerritoryItaly
    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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