Probabilistic integration of sparse audio-visual cues for identity tracking
Keni Bernardin, Rainer Stiefelhagen, Alex Waibel · 2008
In the context of smart environments, the ability to track and identify persons is a key factor, determining the scope and flexibility of analytical components or intelligent services that can be provided. While some amount of work has been done concerning the camera-based tracking of multiple users in a variety of scenarios, technologies for acoustic and visual identification, such as face or voice ID, are unfortunately still subjected to severe limitations when distantly placed sensors have to be used. Because of this, reliable cues for identification can be hard to obtain without user cooperation, especially when multiple users are involved.