Evaluation of Multiple Cue Head Pose Estimation Algorithms
in Natural Environements
Sileye Ba and Jean-Marc Odobez
In: IEEE International Conference on Multimedia & Expo, 6-8 Jul 2005, Amesterdam, Netherlands.
Head pose estimation is a research area which has
many applications, e.g. in human computer interfaces design
or in the analysis of people's focus-of-attention.
The paper addresses the issue of head pose estimation,
and makes two contributions. First it introduces a
database of more than 2 hours of video with head pose
annotation involving people engaged in office activities or
meeting discussion. The database is publicly available.
The second is an algorithm which couples tracking and head pose
estimation in a mixed-state particle filter. The approach
combines the robustness of color-based tracking by
exploiting skin head/face models
with the localization accuracy of texture-based
head models, as demonstrated by the reported experiments.