Integration of a Sound Source Detection into a Probabilistic-based Multimodal Approach for Person Detection and Tracking

Autor:	Horst-Michael Gross, Christian Märtin, Andrea Scheidig, Robert Brückmann
Rok vydání:	2006
Předmět:	geography geography.geographical_feature_category business.industry Computer science Probabilistic logic Tracking system Mobile robot Tracking (particle physics) Robot Computer vision Artificial intelligence business Sensory cue Mobile interaction Sound (geography)
Zdroj:	Autonome Mobile Systeme 2005 ISBN: 3540302913 AMS
DOI:	10.1007/3-540-30292-1_17
Popis:	Dealing with methods of Human-Robot-Interaction and us- ing a real mobile robot, stable methods for people detection and track- ing are fundamental features of such a system and require information from dierent sources. Based on an existing probability-based and mul- timodal 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 diculty of reverberant envi- ronments. 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 oce environment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::39a3a4620cf11dfa51fca42e8a092d84 https://doi.org/10.1007/3-540-30292-1_17 Zobrazit plný text záznamu