Seminar 29th April 2010 3:45 p.m. 54/10B
Sequential MCMC for tracking of dynamically evolving groups and musical audio score estimation
Simon Godsill
University of Cambridge
- Categories
- Acoustics, Complex Systems, Monte Carlo, Scientific Computing
- Submitter
- Stefanie Biedermann
In this talk I will describe recent developments in sequential MCMC approaches to Bayesian tracking. Probabilities are propagated through time using a Monte Carlo representation, as in standard particle filters, but updating of states is carried out using specially constructed MCMC schemes. Applications are presented from tracking of dynamically evolving groups of objects and for transcription of musical audio scores.