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심재영

Sim, Jae-Young
Visual Information Processing Lab.
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Reliable optical flow estimation in motion-blurred regions

Author(s)
Koh, Yeong JunLee, ChulSim, Jae-YoungKim, Chang-Su
Issued Date
2013-10-02
DOI
10.1109/MMSP.2013.6659321
URI
https://scholarworks.unist.ac.kr/handle/201301/37390
Fulltext
https://ieeexplore.ieee.org/document/6659321
Citation
2013 IEEE 15th International Workshop on Multimedia Signal Processing, MMSP 2013, pp.396 - 401
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.
Publisher
2013 IEEE 15th International Workshop on Multimedia Signal Processing, MMSP 2013
ISBN
978-147990125-8

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