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Authors: Vanel Lazcano 1 ; Luis Garrido 2 and Coloma Ballester 3

Affiliations: 1 Universidad Mayor, Chile ; 2 Universitat de Barcelona, Spain ; 3 University Pompeu Fabra, Spain

Keyword(s): Optical Flow, Exhaustive Search, Large Displacements, Illumination Changes.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses

Abstract: This paper deals with motion estimation of objects in a video sequence. This problem is known as optical flow estimation. Traditional models to estimate it fail in presence of occlusions and non-uniform illumination. To tackle these problems we propose a variational model to jointly estimate optical flow and occlusions. The proposed model is able to deal with the usual drawback of variational methods in dealing with large displacements of objects in the scene which are larger than the object itself. The addition of a term that balances gradient and intensities increases the robustness to illumination changes of the proposed model. The inclusion of a supplementary matching obtained by exhaustive search in specific locations helps to follow large displacements.

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Paper citation in several formats:
Lazcano, V.; Garrido, L. and Ballester, C. (2018). Jointly Optical Flow and Occlusion Estimation for Images with Large Displacements. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP; ISBN 978-989-758-290-5; ISSN 2184-4321, SciTePress, pages 588-595. DOI: 10.5220/0006716305880595

@conference{visapp18,
author={Vanel Lazcano. and Luis Garrido. and Coloma Ballester.},
title={Jointly Optical Flow and Occlusion Estimation for Images with Large Displacements},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP},
year={2018},
pages={588-595},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006716305880595},
isbn={978-989-758-290-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - Volume 5: VISAPP
TI - Jointly Optical Flow and Occlusion Estimation for Images with Large Displacements
SN - 978-989-758-290-5
IS - 2184-4321
AU - Lazcano, V.
AU - Garrido, L.
AU - Ballester, C.
PY - 2018
SP - 588
EP - 595
DO - 10.5220/0006716305880595
PB - SciTePress

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