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Object tracking methods and their areas of application: A meta-analysis: A thorough review and summary of commonly used object tracking methods
Umeå University, Faculty of Science and Technology, Department of Computing Science.
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Object tracking is a well-studied problem within the the area of image processing. The ability to track objects has improved drastically during the last decades, however, it is still considered a complex problem to solve. The importance of object tracking is reflected by the broad area of applications such as video surveillance, human-computer interaction, and robot navigation.

The purpose of this study was to examine, evaluate, and make a summary of the most common object tracking methods. In this paper a thorough review of the object tracking process is presented. This includes selection of object representation, object features, methods for object detection, and methods for tracking the object over succeeding frames. A summary of the object tracking methods covered in this paper is presented in the result section, including advantages, disadvantages, and for which context each method is suitable for.

Place, publisher, year, edition, pages
2017. , p. 45
Series
UMNAD ; 1100
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:umu:diva-136153OAI: oai:DiVA.org:umu-136153DiVA, id: diva2:1109445
External cooperation
Codemill
Educational program
Master of Science Programme in Computing Science and Engineering
Supervisors
Examiners
Available from: 2017-06-14 Created: 2017-06-14 Last updated: 2017-09-07Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
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  • en-GB
  • en-US
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  • nn-NO
  • nn-NB
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Output format
  • html
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  • asciidoc
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