Optimisation and comparison framework for monocular camera-based face tracking

Date
2009
Authors
Marks, S
Windsor, J
Wünsche, B
Supervisor
Item type
Journal Article
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract

Tracking the position and orientation of the human face with respect to a camera has valuable applications in human computer interaction (HCI). Examples are navigating through a virtual environment, controlling objects using head gestures, and enabling avatars in a virtual environment to reflect the user’s behaviour.

Tracking performance can be heavily influenced by environmental parameters. Developers and users of face tracking plugins without computer vision experience need guidelines how to optimise face tracking performance in real world set-ups and they need measures how environmental parameters influence the results.

In this paper we develop a qualitative framework for determining ideal working conditions of face tracking algorithms. We apply our framework to a commercially available face tracking solution and present the results of this analysis.

Description
Tracking the position and orientation of the human face with respect to a camera has valuable applications in human computer interaction (HCI). Examples are navigating through a virtual environment, controlling objects using head gestures, and enabling avatars in a virtual environment to reflect the user's behaviour. Tracking performance can be heavily influenced by environmental parameters. Developers and users of face tracking plugins without computer vision experience need guidelines how to optimise face tracking performance in real world set-ups and they need measures how environmental parameters influence the results. In this paper we develop a qualitative framework for determining ideal working conditions of face tracking algorithms. We apply our framework to a commercially available face tracking solution and present the results of this analysis.
Keywords
Application software , Avatars , Cameras , Computer vision , Employee welfare , Face detection , Guidelines , Human computer interaction , Navigation , Virtual environment
Source
Conference proceedings from 2009 24th International Conference Image and Vision Computing New Zealand (IVCNZ09), pp.243 - 248
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