Abstract
Recent advances in wearable sensing allow active control of the orientation
of a body-mounted camera worn by a remote user. In this paper we consider
the control of the active camera from head movements. In the context of teleoperation,
these may be the head movements of a remote operator, perhaps
acting as the wearer’s assistant. The movements are likely to be larger than
those in video-conference applications, and so frontal facial features are insufficient.
The paper presents a model which incrementally combines a fixed
3D shape model with specific features found on the observed head. Robust
methods, including the incorporation of a colour model, are used to mitigate
the effect of mismatching, the main contribution being the use of both interest
point and colour features within a single random-sampling framework.
| Translated title of the contribution | Head pose estimation for wearable robot control |
|---|---|
| Original language | English |
| Title of host publication | Proc. British Machine Vision Conference |
| Publisher | BMVA |
| Publication status | Published - 2002 |
Bibliographical note
Other page information: -Conference Proceedings/Title of Journal: Proc. British Machine Vision Conference
Other identifier: 2000864