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Authors: Tobias Schuchert and Fabian Oser

Affiliation: Fraunhofer IOSB, Germany

Keyword(s): Optical flow, Motion estimation, Super resolution, Confidence measures.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Video Analysis

Abstract: In this paper we propose a novel optical flow estimation method accompanied by confidence measures. Our main goal is fast and highly accurate motion estimation in regions where information is available and a confidence measure which identifies these regions. Therefore we extend the structure tensor method to robust recursive total least squares (RRTLS) and run it on a GPU for real-time processing. Based on a coarse-to-fine framework we propagate not only the motion estimates to finer scales but also the covariance matrices, which may be used as confidence measures. Experiments on synthetic data show the benefits of our approach. We applied the RRTLS framework to a real-time super-resolution method for deforming objects which incorporates the confidence measures and demonstrates that propagating the covariances through the pyramid improves super-resolution results.

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Paper citation in several formats:
Schuchert, T. and Oser, F. (2012). OPTICAL FLOW ESTIMATION WITH CONFIDENCE MEASURES FOR SUPER-RESOLUTION BASED ON RECURSIVE ROBUST TOTAL LEAST SQUARES. In Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM; ISBN 978-989-8425-99-7; ISSN 2184-4313, SciTePress, pages 463-469. DOI: 10.5220/0003785904630469

@conference{icpram12,
author={Tobias Schuchert. and Fabian Oser.},
title={OPTICAL FLOW ESTIMATION WITH CONFIDENCE MEASURES FOR SUPER-RESOLUTION BASED ON RECURSIVE ROBUST TOTAL LEAST SQUARES},
booktitle={Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM},
year={2012},
pages={463-469},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003785904630469},
isbn={978-989-8425-99-7},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM
TI - OPTICAL FLOW ESTIMATION WITH CONFIDENCE MEASURES FOR SUPER-RESOLUTION BASED ON RECURSIVE ROBUST TOTAL LEAST SQUARES
SN - 978-989-8425-99-7
IS - 2184-4313
AU - Schuchert, T.
AU - Oser, F.
PY - 2012
SP - 463
EP - 469
DO - 10.5220/0003785904630469
PB - SciTePress

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