Lessons Learned

* Probabilistic (Bayesian) framework allows

- integration of information over time

- modeling of priors

- explicit generative image model

* Particle filtering allows

- multi-modal distributions

- tracking with ambiguities and

non-linear models

* Weak image cues necessitate strong priors

and many samples.