Title
Active vision techniques for visually mediated interaction
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.
Year
DOI
Venue
2002
10.1016/S0262-8856(02)00095-1
Pattern Recognition, 2002. Proceedings. 16th International Conference  
Keywords
DocType
Volume
camera control,gesture recognition,face recognition,visually mediated interaction,time-delay neural networks,video conferencing,active vision,computer vision,face detection,hidden markov models,teleconferencing
Journal
20
Issue
ISSN
Citations 
12
Image and Vision Computing
9
PageRank 
References 
Authors
1.58
27
2
Name
Order
Citations
PageRank
jon howell158539.63
Hilary Buxton2491135.93