On the basic of the continuities of ti me and space between the two neighbor frames in sequence images,a method based on Kalman filter for predicting position is proposed to match feature points in sequence images rapidly.Four p arameters,which are used to describ a similar matrix,are used as state vector in Kalman filter.After four parameters are predicted by Kalman fi lter,the similarity transformation from the current frame to the next frame can be built,and the correspondenc e between sub-regions of the current frame and the next frame can be found. Then,all feature points in pairs of corresponding sub-regions are matched respe ctively.Finally,the state vector including four parameters is updated from an observed similar matrix estimated by all matched corresponding points.T he result of an experiment shows that when the magnification of sub-region with the size of 128×128is equal to 1.5,the accuracy of the proposed local matching method is exceed 90%,and the consuming time is de creased by 50% relative to that of global matching method.It illustrates that th e proposed matching method can be used effectively to match sequence images.