Title:
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Jointly optical flow and occlusion estimation for images with large displacements
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Author:
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Lazcano, Vanel; Garrido Ostermann, Luis; Ballester, Coloma
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Abstract:
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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. |
Abstract:
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Comunicació presentada a: VISIGRAPP 2018, celebrat del 27 al 29 de gemer de 2018 a Funchal, Madeira, Portugal. |
Subject(s):
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-Optical flow -Exhaustive search -Large displacements -Illumination changes |
Rights:
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© 2018 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved
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Document type:
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Conference Object Article - Published version |
Published by:
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SCITEPRESS; SCITEPRESS
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