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10.1109/ICCV.2005.138guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Learning Layered Motion Segmentation of Video

Published: 17 October 2005 Publication History

Abstract

We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, which consist of one or more segments. Included in the model are the effects of image projection, lighting, and motion blur. The two main contributions of our method are: (i) A novel algorithm for obtaining the initial estimate of the model using efficient loopy belief propagation; (ii) Using β-swap and -expansion algorithms, which guarantee a strong local minima, for refining the initial estimate. Results are presented on several classes of objects with different types of camera motion. We compare our method with the state of the art and demonstrate significant improvements.

Cited By

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  • (2012)Bilayer segmentation augmented with future evidenceProceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II10.1007/978-3-642-31075-1_52(699-711)Online publication date: 18-Jun-2012
  • (2010)RBF based spatio-temporal representation technique for video compressionProceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing10.1145/1924559.1924624(485-489)Online publication date: 12-Dec-2010
  • (2008)Efficient MRF deformation model for non-rigid image matchingComputer Vision and Image Understanding10.1016/j.cviu.2008.06.006112:1(91-99)Online publication date: 1-Oct-2008
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Published In

cover image Guide Proceedings
ICCV '05: Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
October 2005
908 pages
ISBN:076952334X01

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IEEE Computer Society

United States

Publication History

Published: 17 October 2005

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Cited By

View all
  • (2012)Bilayer segmentation augmented with future evidenceProceedings of the 12th international conference on Computational Science and Its Applications - Volume Part II10.1007/978-3-642-31075-1_52(699-711)Online publication date: 18-Jun-2012
  • (2010)RBF based spatio-temporal representation technique for video compressionProceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing10.1145/1924559.1924624(485-489)Online publication date: 12-Dec-2010
  • (2008)Efficient MRF deformation model for non-rigid image matchingComputer Vision and Image Understanding10.1016/j.cviu.2008.06.006112:1(91-99)Online publication date: 1-Oct-2008
  • (2006)Schematic storyboarding for video visualization and editingACM SIGGRAPH 2006 Papers10.1145/1179352.1141967(862-871)Online publication date: 30-Jul-2006
  • (2006)Schematic storyboarding for video visualization and editingACM Transactions on Graphics10.1145/1141911.114196725:3(862-871)Online publication date: 1-Jul-2006
  • (2006)A survey of advances in vision-based human motion capture and analysisComputer Vision and Image Understanding10.1016/j.cviu.2006.08.002104:2(90-126)Online publication date: 1-Nov-2006

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