Ego-Motion Compensated Face Detection on a Mobile Device

Abstract

In this paper we propose face tracking on a mobile device by integrating an inertial measurement unit into a boosting based face detection framework. Since boosting based methods are highly rotational variant, we use gyroscope data to compensate for the camera orientation by virtual compensation of the camera ego-motion. The proposed fusion of inertial sensors and face detection has been tested on Apple's iPhone 4. The tests reveal that the proposed fusion provides significant better results with only minor computational overhead compared to the reference face detection algorithm.

Cite

Text

Scheuermann et al. "Ego-Motion Compensated Face Detection on a Mobile Device." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981810

Markdown

[Scheuermann et al. "Ego-Motion Compensated Face Detection on a Mobile Device." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/scheuermann2011cvprw-egomotion/) doi:10.1109/CVPRW.2011.5981810

BibTeX

@inproceedings{scheuermann2011cvprw-egomotion,
  title     = {{Ego-Motion Compensated Face Detection on a Mobile Device}},
  author    = {Scheuermann, Björn and Ehlers, Arne and Riazy, H. and Baumann, Florian and Rosenhahn, Bodo},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2011},
  pages     = {66-71},
  doi       = {10.1109/CVPRW.2011.5981810},
  url       = {https://mlanthology.org/cvprw/2011/scheuermann2011cvprw-egomotion/}
}