Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Efficient person identification using active cameras in a smartroom

: Camp, F. van de; Viot, M.; Stiefelhagen, R.

Postprint urn:nbn:de:0011-n-1513034 (467 KByte PDF)
MD5 Fingerprint: 0a58151485c5ea479e83e15592b013d1
© ACM 2010 This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution.
Erstellt am: 25.1.2011

Association for Computing Machinery -ACM-, Special Interest Group on Multimedia -SIGMM-:
ACM Multimedia 2010 International Conference, ACM MM 2010 & co-located workshops. Proceedings. CD-ROM : 25-29 October 2010, Firenze, Italy
New York: ACM, 2010
ISBN: 978-1-60558-933-6
ISBN: 978-1-450-30159-6
ISBN: 978-1-450-30169-5
International Conference on Multimedia (MM) <18, 2010, Firenze>
International Workshop on Multimodal Pervasive Video Analysis (MPVA) <1, 2010, Firenze>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
active cameras; headpose; tracking; identification; efficiency; smartrooms; analysis

Identifying people is an important task in a Smartroom environment. Active cameras are well suited for the task as they provide high resolution images at almost any location in the room. Since active cameras only observe a small part of the field of view they are capable of, it is important to schedule their movement to efficiently use them for face identification. An effective way to schedule cameras would be to always steer them towards persons currently looking at the camera. To realize this, we utilize the headpose estimation component of our smartroom to schedule the active cameras. To overcome the problems associated with evaluating active camera setups, we propose an evaluation methodology that allows for repetition of experiments without invalidating the comparability of the results. The conducted experiments show a significant improvement in the number of face detections in the view of the active cameras utilizing a headpose based scheduling strategy compared to a less dynamic baseline scheduler.