Multi-view head pose estimation using neural networks

  title={Multi-view head pose estimation using neural networks},
  author={Michael Voit and Kai Nickel and Rainer Stiefelhagen},
  journal={The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)},
In the context of human-computer interaction, information about head pose is an important cue for building a statement about humans' focus of attention. In this paper, we present an approach to estimate horizontal head rotation of people inside a smart-room. This room is equipped with multiple cameras that aim to provide at least one facial view of the user at any location in the room. We use neural networks that were trained on samples of rotated heads in order to classify each camera view… CONTINUE READING
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and the CHIL Project Consortium

A. Waibel, H. Steusloff, R. Stiefelhagen
Chil: Computers in the human interaction loop. In5th International Workshop on Image Analysis for Multimedia Interactive Services • 2004
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