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Robot Soccer World Cup

RoboCup 2012: RoboCup 2012: Robot Soccer World Cup XVI pp 273–285Cite as

Using Saliency-Based Visual Attention Methods for Achieving Illumination Invariance in Robot Soccer

  • Conference paper

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 7500)

Abstract

In order to be able to beat the world champion human soccer team in the year 2050, soccer playing robots will need to have very robust vision systems that can cope with drastic changes in illumination conditions. However, the current vision systems are still brittle and they require exhaustive and repeated color calibration procedures to perform acceptably well. In this paper, we investigate the suitability of biologically inspired saliency-based visual attention models for developing robust vision systems for soccer playing robots while focusing on the illumination invariance aspect of the solution. The experiment results demonstrate successful and accurate detection of the ball even when the illumination conditions change continuously and dramatically.

Keywords

  • Visual Attention
  • Generalize Regression Neural Network
  • Color Constancy
  • Color Segmentation
  • Robot Platform

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Boǧaziçi University, Istanbul, Turkey

    F. Serhan Daniş, Tekin Meriçli & H. Levent Akın

Authors
  1. F. Serhan Daniş
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  2. Tekin Meriçli
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  3. H. Levent Akın
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Editor information

Editors and Affiliations

  1. Computer Science School, University of Science and Technology of China, 230027, Hefei, China

    Xiaoping Chen

  2. Department of Computer Science, The University of Texas at Austin, 78712-1757, Austin, TX, USA

    Peter Stone

  3. Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico

    Luis Enrique Sucar

  4. Faculty of Mathematics and Natural Sciences, Institute for Artificial Intelligence and Cognitive Engineering, University of Groningen, 9747 AG, Groningen, The Netherlands

    Tijn van der Zant

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Daniş, F.S., Meriçli, T., Akın, H.L. (2013). Using Saliency-Based Visual Attention Methods for Achieving Illumination Invariance in Robot Soccer. In: Chen, X., Stone, P., Sucar, L.E., van der Zant, T. (eds) RoboCup 2012: Robot Soccer World Cup XVI. RoboCup 2012. Lecture Notes in Computer Science(), vol 7500. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39250-4_25

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  • DOI: https://doi.org/10.1007/978-3-642-39250-4_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39249-8

  • Online ISBN: 978-3-642-39250-4

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