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Is A Magnetic Sensor Capable of Evaluating A Vision-Based Face Tracking System?
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2003 (English)Report (Other academic)
Abstract [en]

This paper addresses an important issue, how to evaluate a vision-based face tracking system? Although nowadays it is getting popular to employ a magnetic sensor to evaluate the performance of such systems. The related issues such as condition and limitation of usage are often omitted. In this paper we studied this accepted evaluation methodology together with another evaluation method, Peak Signal to Noise (PSNR) commonly used inimage coding community. The condition of proper usage of magnetic sensor as evaluating system is discussed. Our theoretical analysis and experiments with real video sequences show that we have to be very careful to select the so-called ”ground truth”. We believe that to help further development of face tracking techniques, a valid performance evaluation is necessary, both the evaluating system and the tracking system have to be jointly considered to decide if the evaluating method is valid. The experimental results give us further hints about the tracking performance when using different tracking scheme.

Place, publisher, year, edition, pages
Umeå: Tillämpad fysik och elektronik , 2003. , 13 p.
Series
DML Technical Report, ISSN 1652-8441
Keyword [en]
Signalbehandling
Keyword [sv]
Signalbehandling
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:umu:diva-429OAI: oai:DiVA.org:umu-429DiVA: diva2:143440
Available from: 2005-01-26 Created: 2005-01-26 Last updated: 2016-02-23Bibliographically approved

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Li, Haibo
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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