Focuses on the hot application problems of target tracking in the field of machine vision, the simulation andverification of target tracking are carried out based on the typical algorithms of Circulant Structure Kernel (CSK), KernelizedCorrelation Filter (KCF), Color Name (CN) and Scale Adaptive Multiple Feature (SAMF). And through the technical principleanalysis, index evaluation system construction, sample data set construction and calibration analysis and other specific experimentalimplementation, the advantages and disadvantages of each algorithm according to comparing of the function and property ofalgorithm is explored, which provides the basis for the application of correlation filtering algorithm.