Hacker News new | ask | show | jobs
by dantkz 5635 days ago
Yes, you can describe tracking and Kalman filter using bayesian statistics. Although, my prof said that originally it was not developed that way, but it is easier to describe it using normal distributions as priors and likelihoods of the position of the object being tracked.
1 comments

And I guess thanks to those crazy generalizing mathematicians, nowadays you can use something like Kalman filtering with distribution other than normal ones.
Check out particle filters if you want crazy mathematicians. Fun stuff.