Parametric non-Gaussian dynamical filters (with James Loxam)

This work introduces the Student-t Mixture Filter as a robust method of filtering, capable of handling erroneous measurements and process models in a Bayesian manner without the need for ad-hoc outlier decisions and pre-filtering. 

[2008 ECCV Paper]




Video comparing the Student-t mixture filter to other tracking methods