Bielefeld University Faculty of Linguistics and Literature Faculty of Technology

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Abstract

An important prerequisite for the natural interaction of humans with a mobile robot is the robot's capability to detect potential communication partners. In this paper we present an approach which uses a combination of person recognition and tracking with sound source localization realized in a multi-modal anchoring framework. As in open environments several potential communication partners can be present simultaneously we developed a rule-based method for selecting one specific person as the current communication partner.

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