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Comparing measurement models for tracking people in thermal images on a mobile robot
University of Tubingen. (Dept. of Computer Architecture)
Örebro University, Department of Technology. (Learning Systems Lab)
Örebro University, Department of Technology. (Learning Systems Lab)
2005 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

While most vision systems for tracking people on mobile robots use skin color information, we present an approach using thermal images and two different measurement models together with a Particle Filter. With this method a person can be detected independently from current light conditions and in situations were no skin color is visible (the person is not close or does not face the robot). The results show that a measurement model that was learned from local greyscale features improved on the performance of an elliptic contour model, and that both models could be used in combination to further improve performance with minimal extra computational cost

Place, publisher, year, edition, pages
2005.
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-3967OAI: oai:DiVA.org:oru-3967DiVA, id: diva2:138266
Conference
2nd European Conference on Mobile Robots, EMCR 2005, Ancona, Italy
Available from: 2007-08-29 Created: 2007-08-29 Last updated: 2018-01-13Bibliographically approved

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Cielniak, GrzegorzDuckett, Tom

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CiteExportLink to record
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  • apa
  • ieee
  • modern-language-association-8th-edition
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  • de-DE
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Output format
  • html
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  • asciidoc
  • rtf