Paper Info
Title
Visually Mediated Interaction Using Learnt Gestures and Camera Control
Abstract
In this paper we introduce connectionist techniques for visually mediated interaction to be used, for example, in video-conferencing applications. First, we briefly present background work on recognition of identity, expression and pose using Radial Basis Function (RBF) networks. Flexible, example-based, learning methods allow a set of specialised networks to be trained. Second, we address the problem of gesture-based communication and attentional focus using Time-Delay versions of the networks. Colour/motion cues are used to direct face detection and the capture of 'attentional frames' surrounding the upper torso and head of the subjects, which focus the processing for visually mediated interaction. Third, we present methods for the gesture recognition and behaviour (user-camera) coordination in the system. In this work, we are taking an appearance-based approach and use the specific phases of communicative gestures to control the camera systems in an integrated system.
Year
DOI
Venue
2001
10.1007/3-540-47873-6_29
Gesture Workshop
Keywords
Field
DocType
attentional frame,present method,integrated system,present background work,attentional focus,gesture recognition,time-delay version,mediated interaction,learnt gestures,radial basis function,camera control,visually mediated interaction,camera system,video conferencing,face recognition,computer vision,face detection,integrable system
Torso,Computer vision,Facial recognition system,Radial basis function,Gesture,Computer science,Gesture recognition,Artificial intelligence,Face detection,Camera control,Connectionism
Conference
ISBN
Citations 
PageRank 
3-540-43678-2
2
0.38
References 
Authors
19
2
Name
Order
Citations
PageRank
jon howell158539.63
Hilary Buxton2491135.93