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Authors: Pekka Sangi ; Jari Hannuksela ; Janne Heikkilä and Olli Silvén

Affiliation: University of Oulu, Finland

Keyword(s): Motion Segmentation, Block Matching, Confidence Analysis.

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

Abstract: The paper considers the problem of extracting background and foreground motions from image sequences based on the estimated displacements of a small set of image blocks. As a novelty, the uncertainty of local motion estimates is analyzed and exploited in the fitting of parametric object motion models which is done within a competitive framework. Prediction of patch labels is based on the temporal propagation of labeling information from seed points in spatial proximity. Estimates of local displacements are then used to predict the object motions which provide a starting point for iterative refinement. Experiments with both synthesized and real image sequences show the potential of the approach as a tool for tracking based online motion segmentation.

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Paper citation in several formats:
Sangi, P.; Hannuksela, J.; Heikkilä, J. and Silvén, O. (2013). Sparse Motion Segmentation using Propagation of Feature Labels. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP; ISBN 978-989-8565-48-8; ISSN 2184-4321, SciTePress, pages 396-401. DOI: 10.5220/0004281203960401

@conference{visapp13,
author={Pekka Sangi. and Jari Hannuksela. and Janne Heikkilä. and Olli Silvén.},
title={Sparse Motion Segmentation using Propagation of Feature Labels},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP},
year={2013},
pages={396-401},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004281203960401},
isbn={978-989-8565-48-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 2: VISAPP
TI - Sparse Motion Segmentation using Propagation of Feature Labels
SN - 978-989-8565-48-8
IS - 2184-4321
AU - Sangi, P.
AU - Hannuksela, J.
AU - Heikkilä, J.
AU - Silvén, O.
PY - 2013
SP - 396
EP - 401
DO - 10.5220/0004281203960401
PB - SciTePress