DocumentCode
384300
Title
Active vision techniques for visually mediated interaction
Author
Howell, A. Jonathan ; Buxton, Hilary
Author_Institution
Sch. of Cognitive & Comput. Sci., Sussex Univ., Brighton, UK
Volume
2
fYear
2002
fDate
2002
Firstpage
296
Abstract
In this paper we introduce adaptive vision techniques used, for example, in video-conferencing applications. Radial basis function (RBF) networks have been trained for gesture-based communication with 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. We use these methods for behaviour (user-camera) coordination in an integrated system.
Keywords
active vision; delays; face recognition; radial basis function networks; teleconferencing; Gabor filter coefficients; active vision techniques; adaptive vision techniques; face detection; gesture-based communication; radial basis function networks; time-delay RBF networks; video-conferencing; visually mediated interaction; Biological system modeling; Computer vision; Coupled mode analysis; Deformable models; Face detection; Gabor filters; Hidden Markov models; Humans; Radial basis function networks; Shape control;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1048298
Filename
1048298
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