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Enhancing motion segmentation by combination of complementary affinities
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology. (CVL)
2012 (English)In: Proceedings of the 21st Internationa Conference on Pattern Recognition, 2012, 2198-2201 p.Conference paper, Presentation (Other academic)
Abstract [en]

Complementary information, when combined in the right way, is capable of improving clustering and segmentation problems. In this paper, we show how it is possible to enhance motion segmentation accuracy with a very simple and inexpensive combination of complementary information, which comes from the column and row spaces of the same measurement matrix. We test our approach on the Hopkins155 dataset where it outperforms all other state-of-the-art methods.

Place, publisher, year, edition, pages
2012. 2198-2201 p.
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-85692ISBN: 978-1-4673-2216-4OAI: diva2:572612
21st International Conference on Pattern Recognition (ICPR 2012), 11-15 November 2012, Tsukuba, Japan
EU, FP7, Seventh Framework Programme
Available from: 2013-04-08 Created: 2012-11-28 Last updated: 2013-04-08Bibliographically approved

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