Fast Color-Independent Ball Detection for Mobile Robots

This paper presents a novel scheme for fast color invariant ball detection in the RoboCup context. Edge filtered camera images serve as an input for an Ada Boost learning procedure that constructs a cascade of classification and regression trees (CARTs). Our system is capable to detect different soccer balls in the RoboCup and other environments. The resulting approach for object classification is real-time capable and reliable.


Published in:
Proceedings of the IEEE International Conference Mechatronics and Robotics 2004 (MechRob '04), 900-905
Presented at:
IEEE International Conference Mechatronics and Robotics 2004 (MechRob '04), Aachen, Germany, September 2004
Year:
2004
Keywords:
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 Record created 2006-10-05, last modified 2018-03-17

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