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Propagation based tracking with uncertainty measurement in automotive applications
Goethe University of Frankfurt, Germany.
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, Faculty of Science & Engineering. Goethe University of Frankfurt, Germany.
2016 (English)In: 2016 IEEE SOUTHWEST SYMPOSIUM ON IMAGE ANALYSIS AND INTERPRETATION (SSIAI), IEEE , 2016, 117-120 p.Conference paper, Published paper (Refereed)
Abstract [en]

Tracking keypoints through a sequence of images is one of the first major steps of structure-from-motion approaches. This paper presents a robust method to extend from two-frame keypoint matching to multi-frame tracking. The transition from matching to tracking is implemented through the propagation of the predicted 3D position of the keypoint. The uncertainty level of the tracking results is calculated based on the uncertainty of the motion parameters. Experiments on KITTI dataset as well as on a synthetic dataset show that dense and accurate tracking is attainable.

Place, publisher, year, edition, pages
IEEE , 2016. 117-120 p.
Series
IEEE Southwest Symposium on Image Analysis and Interpretation, ISSN 1550-5782
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-131202DOI: 10.1109/SSIAI.2016.7459189ISI: 000381755500030ISBN: 978-1-4673-9919-7 (print)OAI: oai:DiVA.org:liu-131202DiVA: diva2:971879
Conference
IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI)
Available from: 2016-09-19 Created: 2016-09-12 Last updated: 2016-09-19

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Total: 170 hits
CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf