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2004
Springer

Adaptive Vision for Playing Table Soccer

11 years 10 months ago
Adaptive Vision for Playing Table Soccer
Abstract. For real time object recognition and tracking often color-based methods are used. While these methods are very efficient, they usually dependent heavily on lighting conditions. In this paper we present a robust and efficient vision system for the table soccer robot KiRo. By exploiting knowledge about invariant characteristics of the table soccer game, the system is able to adapt to changing lighting conditions dynamically and to detect relevant objects on the table within a few milliseconds. We give experimental evidence for the robustness and efficiency of our approach.
Thilo Weigel, Dapeng Zhang 0002, Klaus Rechert, Be
Added 02 Jul 2010
Updated 02 Jul 2010
Type Conference
Year 2004
Where KI
Authors Thilo Weigel, Dapeng Zhang 0002, Klaus Rechert, Bernhard Nebel
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