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Sparse motion segmentation using multiple six-point consistencies.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2010 (English)In: The 2nd International Workshop on Video Event Categorization, Tagging and Retrieval (VECTaR 2010), 2010, 338-348 p.Conference paper, Published paper (Refereed)
Abstract [en]

We present a method for segmenting an arbitrary number of moving objects in image sequences using the geometry of 6 points in 2D to infer motion consistency. The method has been evaluated on the Hopkins155 database and surpasses current state-of-the-art methods such as SSC, both in terms of overall performance on two and three motions butalso in terms of maximum errors. The method works by nding initialclusters in the spatial domain, and then classifying each remaining pointas belonging to the cluster that minimizes a motion consistency score. In contrast to most other motion segmentation methods that are basedon an affine camera model, the proposed method is fully projective.

Place, publisher, year, edition, pages
2010. 338-348 p.
Series
Lecture Notes in Computer Science, ISSN 0302-9743 (print), 1611-3349 (online) ; 6468
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-63170DOI: 10.1007/978-3-642-22822-3_34ISBN: 978-3-642-22821-6 (print)ISBN: 978-3-642-22822-3 (print)OAI: oai:DiVA.org:liu-63170DiVA: diva2:376722
Conference
International Workshops on Computer Vision, ACCV 2010; Queenstown; New Zealand
Available from: 2010-12-20 Created: 2010-12-13 Last updated: 2014-10-17Bibliographically approved

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Zografos, VasileiosNordberg, KlasEllis, Liam

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
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  • sv-SE
  • Other locale
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Output format
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