A fast tracking algorithm for video sequence moving object

Accuracy and real-time are important research contents of the moving object tracking algorithm for video sequence images. To overcome the large amount of computation and the weak overall anti-jamming capability of traditional template matching method, this paper presents a fast tracking algorithm based on multi-resolution Kalman filter. Firstly, take advantage of Kalman filter's prediction function to estimate the general object location and then conduct multi-resolution matching to find the best matching position within the location. This algorithm has small amount of computation and high tracking speed. And for the radiation problem, the self-adapting updating memory filter algorithm is proposed to improve the tracking accuracy.