kalman filter vs correlation filters ?

which filter is most advantageous in tracking an object and why ? is it kalman filter or other correlation filters is advantageous ?

Answer 1

[Dima Lisin]

These are different approaches to tracking. Kalman filter relies on motion, while correlation filters rely on appearance. You can use the Kalman filter to track objects that move predictably, even if they all have similar appearance. You can use correlation filters to track objects that have a distinctive appearance. You can also try to combine the two approaches, as well as use other methods, such as KLT, optical flow, or particle filter.