Visual robot detection in RoboCup using neural networks

被引：0
|
作者：
Kaufmann, U [1 ]
Mayer, G [1 ]
Kraetzschmar, G [1 ]
Palm, G [1 ]
机构：
[1] Univ Ulm, Dept Neural Informat Proc, D-89069 Ulm, Germany
来源：
ROBOCUP 2004: ROBOT SOCCER WORLD CUP VIII | 2005年 / 3276卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Robot recognition is a very important point for further improvements in game-play in ROBOCUP middle size league. In this paper we present a neural recognition method we developed to find robots using different visual information. Two algorithms are introduced to detect possible robot areas in an image and a subsequent recognition method with two combined multi-layer perceptrons is used to classify this areas regarding different features. The presented results indicate a very good overall performance of this approach.
引用
收藏
页码：262 / 273
页数：12
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