Active vision techniques for visually mediated interaction

Howell, A.J. and Buxton, H. (2002) Active vision techniques for visually mediated interaction. Image and Vision Computing, 20 (12). pp. 861-871. ISSN 0262-8856

Full text not available from this repository.

Abstract

In this paper, we introduce adaptive vision techniques used, for example, in video-conferencing applications. First, we present the recognition of identity, expression and head pose using radial basis function (RBF) networks. Second, we address gesture-based communication and attentional focus, using colour/motion cues to direct face detection and capture ‘attentional frames’. These focus the processing for visually mediated interaction via an appearance-based approach with Gabor filter coefficients used as input to time-delay RBF networks. Third, we present methods for the gesture recognition and behaviour (user-camera) coordination in an integrated system.

Item Type: Article
Keywords: Visually mediated interaction; Face recognition; Gesture recognition; Camera control; Time-delay neural networks
Schools and Departments: School of Engineering and Informatics > Informatics
Subjects: Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Depositing User: Chris Keene
Date Deposited: 11 Feb 2008
Last Modified: 30 Nov 2012 16:51
URI: http://sro.sussex.ac.uk/id/eprint/1265
Google Scholar:24 Citations
📧 Request an update