An Image Tracking Algorithm Based on Object Centre Location and Image NMI Feature

In order to improve the precision of tracking in real-time, the bandwidth of tracking should be changed according to the change of object´s scale. Based on mean shift algorithm and the target center in every frame located by probability method, this thesis puts forward a self-adaptive algorithm for updating views. Then by combining the normalized moment of inertia (NMI) feature, the center of tracking object is located in real-time. The experiments show that this method can choose the proper size of tracking bandwidth when the object size changing and have strong anti-jamming.