To solve problems caused by infrared image sensors, such a slow signal to noise ratio, background clutter interference and sensor noise, an infrared small target detection method based on max-median filters and Hough transform is proposed. This proposed method predicts a candidate target region using the method of Max-Median filtering with a single image frame. The candidate target region is processed by a mean filter and the residual region is processed by a Min filter. Then, the weighted Hough transform is used to detect targets with the accumulation of multiple image frames. Experimental results demonstrate that this proposed algorithm can detect small targets with a signal to noise ratio of approximately 1. The background movement does not have a significant impact on the effectiveness and robustness of the proposed method.