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Authors: Yasuyuki Sugaya 1 and Kenichi Kanatani 2

Affiliations: 1 Toyohashi University of Technology, Japan ; 2 Okayama University, Japan

ISBN: 978-989-674-028-3

Keyword(s): Multibody motion segmentation, GCAP, Taubin method, EM algorithm, Multistage optimization.

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 ; Segment Cluster Tracking ; Software Engineering ; Video Analysis

Abstract: We present an improved version of the MSL method of Sugaya and Kanatani for multibody motion segmentation. We replace their initial segmentation based on heuristic clustering by an analytical computation based on GPCA, fitting two mbox 2-D affine spaces in mbox 3-D by the Taubin method. This initial segmentation alone can segment most of the motions in natural scenes fairly correctly, and the result is successively optimized by the EM algorithm in mbox 3-D , mbox 5-D , and mbox 7-D . Using simulated and real videos, we demonstrate that our method outperforms the previous MSL and other existing methods. We also illustrate its mechanism by our visualization technique.

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Paper citation in several formats:
Sugaya Y.; Kanatani K. and (2010). IMPROVED MULTISTAGE LEARNING FOR MULTIBODY MOTION SEGMENTATION.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 199-206. DOI: 10.5220/0002814601990206

@conference{visapp10,
author={Yasuyuki Sugaya and Kenichi Kanatani},
title={IMPROVED MULTISTAGE LEARNING FOR MULTIBODY MOTION SEGMENTATION},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={199-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002814601990206},
isbn={978-989-674-028-3},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - IMPROVED MULTISTAGE LEARNING FOR MULTIBODY MOTION SEGMENTATION
SN - 978-989-674-028-3
AU - Sugaya, Y.
AU - Kanatani, K.
PY - 2010
SP - 199
EP - 206
DO - 10.5220/0002814601990206

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