Can Kalman Filter be used with a real time YOLO pose estimator (Getting a live feed) to decrease jittering?

As the title suggest, I'm working with pose estimators, and I need them to be as accurate as possible. No pose estimator was good enough especially because of how resource heavy the bigger ones get.

That is why I'm thinking about working with a lighter pose estimator, and trying to fix its problems by introducing Kalman Filtering, does anyone know if this can work? and if it can't, what are my options?

bigger computervision filter good them thinking yolo