I'm trying to build a robotic system that observes a moving object. In first phase of my project I have placed a simple black & white marker consisting of geometrical shapes on that target object. I'm able to estimate the pose of the object by locating and analyzing the geometry of the marker. However a problem arises when object moves a bit faster. This causes motion blur in the camera input. So far I have read Weiner, Lucy-Richardson and Blind Deconvolution techniques to remove motion blur. But they are very slow for a real-time application. Is there a faster solution to eliminate motion blur? I would prefer a library with python 2.7 interface.If not then how many fps are required to observe a human, who can run,walk, fall, jump without facing blurred images. What will be the cheapest option in such high fps cameras?