The invention discloses a target tracking method based on objectivity and a correlation filter, comprising: expanding a target region in a frame, constructing a training sample and training a kernelized correlation filter, calculating a forward optical flow of a search region in the current frame when each new frame of image comes, obtaining boundaries of a moving object through an edge detectionalgorithm in combination with the color information of the search region, generating a target candidate by an objectivity method according to an edge map generated by edge detection, and adjusting thefour boundaries of a candidate window to fit the true edges of the object. In the search region of the current frame, the initial target position corresponding to the maximum response value is detected by the kernelized correlation filter, the candidate response value is obtained by calculating the objectivity, the target position and size of the current frame are obtained by comparing the response values and the model is updated. The method can effectively deal with the problems such as fast motion and scale change, thereby achieving robust tracking.