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Visual Tracking Using Stereo Images
Linköping University, Department of Electrical Engineering, Computer Vision.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Visual tracking concerns the problem of following an arbitrary object in a video sequence. In this thesis, we examine how to use stereo images to extend existing visual tracking algorithms, which methods exists to obtain information from stereo images, and how the results change as the parameters to each tracker vary. For this purpose, four abstract approaches are identified, with five distinct implementations. Each tracker implementation is an extension of a baseline algorithm, MOSSE. The free parameters of each model are optimized with respect to two different evaluation strategies called nor- and wir-tests, and four different objective functions, which are then fixed when comparing the models against each other. The results are created on single target tracks extracted from the KITTI tracking dataset, and the optimization results show that none of the objective functions are sensitive to the exposed parameters under the joint selection of model and dataset. The evaluation results also shows that none of the extensions improve the results of the baseline tracker.

Place, publisher, year, edition, pages
2019. , p. 127
Keywords [en]
Visual Tracking, Stereo Vision, DCF, Discriminative Correlation Filters
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-153776ISRN: LiTH-ISY-EX–18/5181–SEOAI: oai:DiVA.org:liu-153776DiVA, id: diva2:1277154
Subject / course
Computer Vision Laboratory
Supervisors
Examiners
Available from: 2019-01-11 Created: 2019-01-09 Last updated: 2019-01-11Bibliographically approved

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VisualTrackingUsingStereoImages(21034 kB)36 downloads
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CiteExportLink to record
Permanent link

Direct link
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
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf