Zusammenfassung
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.
Nutzer