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This research aims to develop a system utilizing active cameras to zoom onto individuals for detailed head pose estimation, enhancing gaze approximation accuracy. Passive cameras pose limitations due to low resolution captures, whereas active cameras offer zoom capabilities for precise data. By focusing on active camera views, stable and detailed head pose estimations can be achieved.
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Headpose allows to deduce a coarse gaze approximation Passive cameras, that are set up far away only deliver low-resolution captures A lot of work tries to cope with this by using multiple cameras and hence, different views, for a more stable estimate But: active cameras allow to zoom onto a person in order to deliver a high-resolution capture Goal: Build a system that uses an active camera to zoom onto a person and outputs a high-detailed head orientation estimation Prof. Dr.-Ing. Rainer Stiefelhagen Institut für Anthropomatik Forschungsbereich Maschinensehen für Mensch-Maschine Interaktion Fakultät für Informatik, Universität Karlsruhe (TH) Headposein Active Camera Views Contact: Michael Voit, vt@iitb.fraunhofer.de, fon: 6091-449