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    Novel Object Tracking Method Based on Bayesian Framework

    In order to solve the problem of object tracking in practical application, this paper proposes a method of target tracking based on Bayesian framework. When the object appearance model is established, the background around the object is also used as a part of the model, which can solve the problem of appearance change and occlusion in a certain degree. In addition, since the phase of the image’s Fast Fourier Transform contains the texture information of the image, it is used to deal with the illumination change of object. Compared with the existing optical flow method, the usage of Fast Fourier Transform improves the real-time performance of the proposed object tracking method.