Tracking facial micro-features using an ensemble of particle filters

In this work we propose a template-based tracker for simultaneously tracking multiple targets such as facial features. Our work falls within the particle fil- tering framework and more specifically it extends the Particle Filtering with Factorized Likelihoods (PFFL) tracking scheme. In this work we introduce the idea of using a distribution per...