Algorithm for Small Target Tracking in Sports Video Based on IMM

For tracking and measuring maneuvering target in sports video frequency, Kalman Filter(KF) and Extended Kalman Filter (EKF) has been widely used, but the tracking effect is inaccuracy. A model combined with Interaction Multiple Model (IMM) algorithm and Debiased consistent Converted Measurements Kalman Filter (CMKF-D) algorithm is proposed for tracking and measuring the target in sports video frequency. It avoids the error caused by transferring non-linear model to linear model through EKF and KF. The football video frequency simulation shows this algorithm can promote the tracking performance of maneuvering target in sports video frequency.