Dept. Computer Science, Queen Mary and Westfield College, London.
E-mail: jpmetal@dcs.qmw.ac.uk

Segmentation and Tracking Using Colour Mixture Models

Yogesh Raja, Stephen J. McKenna and Shaogang Gong

Abstract:

A system is described that provides robust and real-time focus-of-attention for tracking and segmentation of multi-coloured objects. Gaussian mixture models were used to estimate the probability densities of object foreground and scene background colours. Tracking was performed by fitting dynamic bounding boxes to image regions of maximum probability. Two scenarios are presented: (1) real-time face tracking based upon a skin colour model and (2) dynamic body segmentation for virtual studios based upon combined foreground and background models.

• 1 Introduction
• 2 Statistical Colour Mixture Models
• 3 Tracking Using Colour Models
• 4 Face Tracking Using a Skin Colour Model
• 5 Multi-coloured Object Tracking and Segmentation
• 6 Conclusions and Further Work
• References