British Machine Vision Association and Society for Pattern Recognition

Call for Participation and Special Issue Journal Submission

Probabilistic Models in Vision and Signal Processing
www.bmva.ac.uk/meetings

One Day BMVA symposium in association with the RSS Statistical Image
Analysis and Processing Study Group at the Royal Statistical Society,
London, UK on 9th May 2001.

The aim of this one-day meeting will be to explore the common areas of
Probabilistic and Statistical Models in Image Analysis and Signal
Processing. Bayesian methods have been used in image reconstruction and
image segmentation for over twenty years. Initially, implementations
were restricted by computer processing requirements. However, current
technology allows more general models to be considered.

From a Bayesian perspective, Sequential Monte Carlo methods allow one to
compute the posterior probability distributions of interest on-line.
However, simulation methods can also be applied within other contexts.
As a result, they are being applied to a large number of interesting
real-world problems in computer vision, such as medical prognosis,
tracking, communications, blind deconvolution, statistical model
diagnostic tools, automatic control, navigation and neural network
training.

Possible Topics Include (but are not limited to):

? Bayesian Estimation
? Image Sequences and Tracking
? State Space and Hidden Markov Models
? Particle Filtering and Smoothing
? Sequential Monte Carlo Methods and Real-time Signal Processing
? Ion Channel Modelling

A selection of presenters will be invited to prepare a submission for a
special issue journal on the subject. Please send a short abstract of
proposed talks, along with your interest in preparing a full manuscript
for further journal publication, by 1st April 2001 to:

Richard Bowden
Vision and VR Group
Dept Systems Engineering
Brunel University
Uxbridge
Middlesex
UB8 3PH, UK
Tel : 01895 274000 ext 2935
Fax   : 01895 812556
Email : [log in to unmask]

Charles C Taylor
The Department of Statistics
The University of Leeds
Leeds
West Yorkshire
LS2 9JT
UK
Tel: (+44) (113) 233 5168
Fax: (+44) (113) 233 5102
Email: [log in to unmask]