kalman filter vs correlation filters ?
4 Ansichten (letzte 30 Tage)
Ältere Kommentare anzeigen
which filter is most advantageous in tracking an object and why ? is it kalman filter or other correlation filters is advantageous ?
0 Kommentare
Antworten (1)
Dima Lisin
am 22 Sep. 2014
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.
0 Kommentare
Siehe auch
Kategorien
Mehr zu Image Processing and Computer Vision finden Sie in Help Center und File Exchange
Produkte
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!