In this thesis, Recurrent Motion in Vision, we explore the concept of recurrent motion patterns in video. The thesis, consisting of two parts, begins with a study on the origin of periodic motion which results in its categorization into fundamental cases. The chapters that follow introduce novel solutions for estimating repetition in real-world videos by means of counting. In the second part, we investigate recurrent motion in physical scenes for learning intrinsic object properties.