Tracking of Entities in Multi-sport Field

Object tracking is the key feature of video analysis. In this paper, we present a method to track object in a multi-sport field. Mean shift algorithm is a kernel tracking approach which tracks on the basis of color and shape of the target object. Due to constant motion in a playground, it is difficult to track the same body because of changing color and direction. Hence we introduce a novel method, Incremental Discriminative Color Object Tracking to track entities on a sports ground. We have proposed to modify certain elements of the original Mean Shift algorithm so as to track entities in video streams with changing color, shape and direction. The trajectory formed from this method enables us to calculate the distance covered by an entity in the field.