Smoothing motion by using Kalman Filter or Particle Filter in video stabilization
I have a problem. I have read many papers about video stabilization. Almost papers mention about smoothing motion by using Kalman Filter, so it's strong and run in real-time applications. But there is also another filter strongly, that is particle filter. But why dont we use Partilce filter in smoothing motion to create stabilized video? Some papers only use particle filter in estimating global motion between frames (motion estimation part). It is hard to understand them. Can anyone explain them for me, please? Thank you so much.
Basically, partical filter gives a higher accuracy but it is computationally much heavier than a normal Kalman filter. Kalman has been, and still will be in the future, playing a leading role in robust and real time tracking, so I guess that is why people are not urged to switch.
Yes I know. But often we use particle filter in estimating global motion in video stabilization, and then use Kalman Filter to smooth motion. Why dont we use Particle filter to smooth motion?
Like said, I think calculating the smoothing based on the particle filter is too computationally heavy. But I could be wrong.