An Improved Meanshift Moving Target Tracking Algorithm

In order to solve the inaccurate locating caused by low differentiation between object color and background color and the missing object resulted from largely blocked area of the object,an improved algorithm is proposed.This algorithm,with Harris corner,could effectively extract target's corner characteristic,these corners are embedded into the iteration condition of meanshift,algorithm for object search,and then in integration of kalman filter,the position of the target in the next frame is predicted and the target tracking finally realized.Experiment indicates that the proposed algorithm could effectively improve the accuracy and real-time performance of the target tracking.