Real-Time Head Pose Estimation on Mobile Platforms
Jianfeng Ren, Mohammad Rahman, Nasser Kehtarnavaz, Leonardo Estevez
Many computer vision applications such as augmented
reality require head pose estimation. As far as the real-time
implementation of head pose estimation on relatively
resource limited mobile platforms is concerned, it is
required to satisfy real-time constraints while maintaining
reasonable head pose estimation accuracy. The introduced
head pose estimation approach in this paper is an attempt to
meet this objective. The approach consists of the following
components: Viola-Jones face detection, color-based face
tracking using an online calibration procedure, and head
pose estimation using Hu moment features and Fisher
linear discriminant. Experimental results running on an
actual mobile device are reported exhibiting both the real-
time and accuracy aspects of the developed approach. Full Text
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