ALVINN: an autonomous land vehicle in a neural network
Advances in neural information processing systems 1
Face recognition: the problem of compensating for changes in illumination direction
ECCV '94 Proceedings of the third European conference on Computer vision (vol. 1)
Visual surveillance in a dynamic and uncertain world
Artificial Intelligence - Special volume on computer vision
Recognising Simple Behaviours Using Time-Delay RBF Networks
Neural Processing Letters
Face recognition using RBF networks
Radial basis function networks 2
Towards unconstrained face recognition from image sequences
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Visual Interaction With Lifelike Characters
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
View-Based Interpretation of Real-Time Optical Flow for Gesture Recognition
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Dynamic Models of Human Motion
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Interpretation of Group Behavior in Visually Mediated Interaction
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
An improved radial basis function network for visual autonomous road following
IEEE Transactions on Neural Networks
Visually Mediated Interaction Using Learnt Gestures and Camera Control
GW '01 Revised Papers from the International Gesture Workshop on Gesture and Sign Languages in Human-Computer Interaction
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In this paper we introduce a set of adaptive vision techniques which could be used, for example, in video-conferencing applications. First, we present methods for finding faces and selecting attentional frames to focus visual processing. Second, we present methods for recognising individual gesture phases for camera control. Finally, we discuss how these techniques can be extended to ‘virtual groups’ of multiple people interacting at multiple sites.