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

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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:	17 Sep 2019 10:37
URI:	http://sro.sussex.ac.uk/id/eprint/1265
Google Scholar:	24 Citations

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