Authors:
Martin Tosas
1
and
Steven Mills
2
Affiliations:
1
School of Computer Science and IT, University of Nottingham, United Kingdom
;
2
Geospatial Research Center (NZ) Ltd, University of Canterbury, New Zealand
Keyword(s):
Skin Colour Detection, Linear Container, Human Computer Interaction.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Image and Video Analysis
;
Image Formation and Preprocessing
;
Implementation of Image and Video Processing Systems
;
Motion, Tracking and Stereo Vision
;
Real-Time Vision
;
Segmentation and Grouping
;
Tracking of People and Surveillance
Abstract:
This paper presents a skin colour classifier that uses a linear container in order to confine a volume of the RGB space where skin colour is likely to appear. The container can be adapted, using a single training image, to maximize the detection of a particular skin tonality. The classifier has minimum storage requirements, it is very fast to evaluate, and despite operating in the RGB space, provides equivalent illumination (brightness) independence to that of classifiers that work in the rg-plane. The performance of the proposed classifier is evaluated and compared with other classifiers. Finally, conclusions are drawn.