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Robust color segmentation for the RoboCup domain
Örebro University, Department of Technology. (Mobile Robotics Lab)
Örebro University, Department of Technology. (Mobile Robotics Lab)ORCID iD: 0000-0001-8229-1363
2002 (English)In: Proceedings 16th International Conference on Pattern Recognition, 2002, 2002, p. 651-654Conference paper, Published paper (Refereed)
Abstract [en]

Color segmentation is crucial in robotic applications, such as RoboCup, where the relevant objects can be distinguished by their color. In these applications, real-time performance and robustness are primary concerns. We present a hybrid method for color segmentation based on seeded region growing (SRG) in which the initial seeds are provided by a conservative threshold color segmentation. The key to the robustness of our approach is to use multiple seeds to perform local blob growing, and then merge blobs that belong to the same region. We have implemented our technique on a team of Sony AIBO 4-legged robots, and have successfully tested it in the RoboCup 2001 competition

Place, publisher, year, edition, pages
2002. p. 651-654
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-3931DOI: 10.1109/ICPR.2002.1048386ISBN: 0-7695-1695-X (print)OAI: oai:DiVA.org:oru-3931DiVA, id: diva2:138230
Conference
16th International Conference on Pattern Recognition, ICPR - Quebec City, Quebec, CA, 11-15 Aug., 2002
Available from: 2007-08-30 Created: 2007-08-30 Last updated: 2018-01-13Bibliographically approved

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Wasik, ZbigniewSaffiotti, Alessandro

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Citation style
  • apa
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  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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