Neural Robot Detection in RoboCup | Zendy

Gerd Mayer | Zendy; Ulrich Kaufmann | Zendy; Gerhard K. Kraetzschmar | Zendy; Günther Palm | Zendy

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Neural Robot Detection in RoboCup

Author(s) -

Gerd Mayer,

Ulrich Kaufmann,

Gerhard K. Kraetzschmar,

Günther Palm

Publication year - 2005

Publication title -

lecture notes in computer science

Language(s) - English

Resource type - Book series

SCImago Journal Rank - 0.249

H-Index - 400

eISSN - 1611-3349

pISSN - 0302-9743

ISBN - 3-540-27440-5

DOI - 10.1007/11521082_21

Subject(s) - computer science , robustness (evolution) , artificial intelligence , flexibility (engineering) , robot , object detection , league , machine learning , computer vision , pattern recognition (psychology) , biochemistry , chemistry , statistics , physics , mathematics , astronomy , gene

Improving the game play in RoboCup middle size league requires a very robust visual opponent and teammate detection system. Because RoboCup games are highly dynamic, the detection system also has to be very fast. That both conditions are not necessarily contradictory is shown in this paper. The described multilevel approach documents, that the combination of a simple color based attention control and a subsequent neural object classification can be applied successfully in real world scenarios. The presented results indicate a very good overall performance regarding robustness, flexibility and computational needs.

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