Audiovisual Person Tracking with a Mobile Robot

作者: Gerhard Sagerer , Jannik Fritsch , Marcus Kleinehagenbrock , Gernot A. Fink , Sebastian Lang

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摘要: Mobile service robots are recently gaining increased attention from industry as they envisaged a future market. Such need natural interaction capabilities to allow unexperienced users make use of these in home and office environments. In order enable the between humans robot, detection tracking persons vicinity robot is necessary. this paper we present person system for mobile which enables track several people simultaneously. Our approach based on variety input cues that fused using multi-modal anchoring framework. The sensors providing data two microphones sound source localization, pan-tilt camera face torso recognition, laser range finder leg detection. Through processing images extract position, our can follow guiding not oriented towards speaking. case information especially important robust during temporary failure

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