A sub-pixel correlation tracking method for extended target based on hierarchy model

摘要

A novel algorithm for detecting and tracking extended target against cluttered background using the improved MPC distance and searching strategy with hierarchy model is presented in this paper. Comparing with the conventional methods, the proposed method modified the correlation distance for MPC criterion for classifying target and background as well, and designed an image shrinking methods controlled by the ratio of median filter and mean filter, which can improve the computation efficiency. Moreover, we interpolate the image within a small window to obtain high accuracy with the half pixels. Experimental results show, as compared to the conventional approaches, the proposed algorithm is more robust, higher precision and has simplified computational complexity for tracking extended target against cluttered background.