The invention relates to a tracking method based on kernel and target continuous adaptive distribution characteristics in the technical field of computer vision. In mean shift self-frame, the invention is combined with adaptive distribution of target area and relatively stable target module, a candidate module is mapped in reverse direction through a column diagram so that the length of a trackingwindow is estimated by the zeroth moment of the distribution image of the tracking area. At last, in updating period, the adaptive updating of the target module and the adaptive updating of trackingwindow length are realized simultaneously according to the similarity of the target module and the candidate module. The target length and the tracking in the condition that greater changes appear canbe realized in dynamic environment.