Moving target detection is a important field of image processing. Because the existing algorithms are vulnerable to background disturbance’s interference in the case of moving detector, a moving target detection algorithm based on target’s polarization characteristics under the condition of the moving detector has been proposed in this paper. Firstly, for the problem of the target detection such as the movement of background and parallax which are caused by the moving detector, a moving target detection method under the condition of moving detector has been proposed. The method gets detector’s motion estimation and compensation parameters by using image feature points matching method, and uses background updating method to achieve target’s detection. Then LK optical flow method is used to get target’s movement information and detector’s movement information and model the target’s and background’s movement information. Eventually this method calculates the relevance of the background’s and target’s movement information model to achieve target detection. Secondly, for the moving target detection method could not solve the problem of Background disturbance which interferes the detection result, a target detection method fused target polarization characteristics has been proposed on the basis of moving target detection method under the conditions of the rotation detector. This method realizes the target detection algorithm based on target’s polarization characteristics under the condition of moving detector, by pre-processing the polarization images to solve the parallax’s effect, clustering and segmenting the pretreated polarization image to extract polarized target, and fusing the moving target detection method. The experiment result shows that this method can effectively detect moving targets with a strong polarization characteristics in the scene, while suppressing the interference brought by strong polarized but still region and weak polarized background disturbance in the sense.