Jointly Optical Flow and Occlusion Estimation for Images with Large Displacements

Vanel Lazcano, Luis Garrido, Coloma Ballester

2018

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.

Paper Citation

in Harvard Style

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, SciTePress, pages 588-595. DOI: 10.5220/0006716305880595

in Bibtex Style

@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},
}

in EndNote Style

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
AU - Lazcano V.
AU - Garrido L.
AU - Ballester C.
PY - 2018
SP - 588
EP - 595
DO - 10.5220/0006716305880595
PB - SciTePress