Multi-modal people tracking for an awareness behavior of an interactive tour-guide robot

Authors:
Peter Poschmann;Sven Hellbach;Hans-Joachim Böhme
Affiliations:
Artificial Intelligence Group, UAS Dresden, Germany;Artificial Intelligence Group, UAS Dresden, Germany;Artificial Intelligence Group, UAS Dresden, Germany
Venue:
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part II
Year:
2012

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Abstract

We propose a system for enhancing a human-robot interaction system. The goal is to embrace surrounding persons into a conversation with the robot by means of establishing or keeping eye contact. For this, a simple and hence computationally efficient people tracking algorithm has been developed, which in itself is an enhancement of existing approaches. As the foundation of our approach we use a vanilla Kalman filter that explicitly models the velocity in the state space, while the observations are transformed into a unified global coordinate system. We evaluate different integration strategies for multiple sensor cues. Furthermore, we extend an algorithm for group detection to be able to recognize individuals.