Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
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, Oral presentation only (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)
Identifiers
URN: urn:nbn:se:liu:diva-85692ISBN: 978-1-4673-2216-4 (print)OAI: oai:DiVA.org:liu-85692DiVA: diva2:572612
Conference
21st International Conference on Pattern Recognition (ICPR 2012), 11-15 November 2012, Tsukuba, Japan
Projects
GARNICS
Funder
EU, FP7, Seventh Framework Programme
Available from: 2013-04-08 Created: 2012-11-28 Last updated: 2013-04-08Bibliographically approved

Open Access in DiVA

fulltext(406 kB)165 downloads
File information
File name FULLTEXT01.pdfFile size 406 kBChecksum SHA-512
13ffbad534d5b7eb2c25f4713619e05d62fc36a821f5c603a7c7aeddb42fe63b5f267d03d7702c9030e3eb82fb54808c6383f373434786fd6af373852abc40e7
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Zografos, Vasileios
By organisation
Computer VisionThe Institute of Technology
Computer Vision and Robotics (Autonomous Systems)

Search outside of DiVA

GoogleGoogle Scholar
Total: 165 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 135 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf