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

页码：262 / 273

页数：12

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