Online Learning of Objects in a Biologically Motivated Visual Architecture
Online Learning of Objects in a Biologically Motivated Visual Architecture
复制标题
生物驱动视觉架构中对象的在线学习
DOI：
10.1142/s0129065707001081
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发表时间：
2007
影响因子：
8
通讯作者：
E. Körner
中科院分区：
文献类型：
--
作者：
H. Wersing;Stephan Kirstein;Michael Götting;H. Brandl;Mark Dunn;Inna Mikhailova;C. Goerick;Jochen J. Steil;H. Ritter;E. Körner
我们提出了一个生物学动机的架构，对象识别，是能够在线学习的几个对象的基础上与人类老师的互动。该系统结合了生物学原理，如地形特征检测层次结构中基于外观的表示和不同层次对象记忆之间的上下文驱动转移。训练可以在不受约束的环境中通过在立体相机系统前面呈现对象并通过语音输入标记它们来执行。学习是完全在线的，因此避免了将交互人为地分为训练和测试阶段。我们展示了一个具有挑战性的合奏50个对象的性能。
We present a biologically motivated architecture for object recognition that is capable of online learning of several objects based on interaction with a human teacher. The system combines biological principles such as appearance-based representation in topographical feature detection hierarchies and context-driven transfer between different levels of object memory. Training can be performed in an unconstrained environment by presenting objects in front of a stereo camera system and labeling them by speech input. The learning is fully online and thus avoids an artificial separation of the interaction into training and test phases. We demonstrate the performance on a challenging ensemble of 50 objects.