Active vision techniques for visually mediated interaction

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, usin...

Full description

Saved in:
Bibliographic Details
Published in:Image and vision computing 2002-10, Vol.20 (12), p.861-871
Main Authors: Jonathan Howell, A, Buxton, Hilary
Format: Article
Language:English
Subjects:
Camera control
Face recognition
Gesture recognition
Time-delay neural networks
Visually mediated interaction
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0262-8856
1872-8138
DOI:10.1016/S0262-8856(02)00095-1