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Multi-cue Discriminative Place Recognition
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS. KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP.ORCID iD: 0000-0002-1396-0102
2010 (English)In: MULTILINGUAL INFORMATION ACCESS EVALUATION II: MULTIMEDIA EXPERIMENTS, PT II / [ed] Peters C; Caputo B; Gonzalez J; Jones GJF; KalpathyCramer J; Muller H; Tsikrika T, 2010, Vol. 6242, p. 315-323Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we report on our successful participation in the Robot Vision challenge in the ImageCLEF 2009 campaign. We present a place recognition system that employs four different discriminative models trained on different global and local visual cues. In order to provide robust recognition, the outputs generated by the models are combined using a discriminative accumulation method. Moreover, the system is able to provide an indication of the confidence of its decision. We analyse the properties and performance of the system on the training and validation data and report the final score obtained on the test run which ranked first in the obligatory track of the Robot Vision task.

Place, publisher, year, edition, pages
2010. Vol. 6242, p. 315-323
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 6242
Keywords [en]
Discriminative models, ImageCLEF, Place recognition, Robust recognition, Validation data, Visual cues
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-31376DOI: 10.1007/978-3-642-15751-6_41ISI: 000286416400041Scopus ID: 2-s2.0-78049339337ISBN: 978-3-642-15750-9 (print)OAI: oai:DiVA.org:kth-31376DiVA, id: diva2:404002
Conference
10th Workshop of the Cross-Language Evaluation Forum, Corfu, GREECE, SEP 30-OCT 02, 2009
Note
QC 20110315Available from: 2011-03-15 Created: 2011-03-14 Last updated: 2018-01-12Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • 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
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  • asciidoc
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