Details
| Original language | English |
|---|---|
| Title of host publication | 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 |
| Publisher | IEEE Computer Society |
| Pages | 66-71 |
| Number of pages | 6 |
| ISBN (print) | 9781457705298 |
| Publication status | Published - 2011 |
| Event | 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011 - Colorado Springs, CO, United States Duration: 20 Jun 2011 → 25 Jun 2011 |
Publication series
| Name | IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops |
|---|---|
| ISSN (Print) | 2160-7508 |
| ISSN (electronic) | 2160-7516 |
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.
ASJC Scopus subject areas
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Engineering(all)
- Electrical and Electronic Engineering
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2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011. IEEE Computer Society, 2011. p. 66-71 5981810 (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Ego-motion compensated face detection on a mobile device
AU - Scheuermann, Björn
AU - Ehlers, Arne
AU - Riazy, Hamon
AU - Baumann, Florian
AU - Rosenhahn, Bodo
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=80054953145&partnerID=8YFLogxK
U2 - 10.1109/CVPRW.2011.5981810
DO - 10.1109/CVPRW.2011.5981810
M3 - Conference contribution
AN - SCOPUS:80054953145
SN - 9781457705298
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 66
EP - 71
BT - 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
PB - IEEE Computer Society
T2 - 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2011
Y2 - 20 June 2011 through 25 June 2011
ER -