British Machine Vision Association and Society for Pattern Recognition Call for Participation and Special Issue Journal Submission Probabilistic Models in Vision and Signal Processing http://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 mailto:richard.bowden@brunel.ac.uk 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 mailto:charles@amsta.leeds.ac.uk