Abstract
Dealing with methods of Human-Robot-Interaction and using a real mobile robot, stable methods for people detection and tracking are fundamental features of such a system and require information from different sources. Based on an existing probability-based and multimodal approach for person detection and tracking, in this paper, we discuss the integration of a further sensory cue. This sensory cue is a sound source detection emerged from auditory information. Firstly, we discuss a newly developed approach for a sound source detection applied for a real world problem, dealing with the difficulty of reverberant environments. Secondly, we show a possible solution to integrate the sound source detection into the already existing person detection and tracking system applied for the mobile interaction robot Horos working in a real office environment.
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© 2006 Springer-Verlag Berlin Heidelberg
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Brückmann, R., Scheidig, A., Martin, C., Gross, HM. (2006). Integration of a Sound Source Detection into a Probabilistic-based Multimodal Approach for Person Detection and Tracking. In: Levi, P., Schanz, M., Lafrenz, R., Avrutin, V. (eds) Autonome Mobile Systeme 2005. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-30292-1_17
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DOI: https://doi.org/10.1007/3-540-30292-1_17
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