通常采用基于三阶自相关变换的算法来对运动目标进行检测，是因为这种算法对目标的平移、旋转和伸缩具有不变性的特点，特别适于目标有水平位移、前后移动和旋转等情况下的检测，但是直接对二维目标进行三阶自相关变换的运算量很大，为了提高效率，提出了一种基于三阶自相关变换的快速算法。应用该算法和理论，对不同姿态的静态目标进行了检测实验，并对含有运动车辆的高速公路视频图像进行了车辆检测，结果表明，该算法在兼顾效率的同时还可获得较高的目标检测准确率。

In the first part of the article, three orders correlation transformation method is applied to detect the moving targets, in series video frames. The obvious advantages of this approach is that it can assure the vargine targets to sustain the same eigen-values when it is displaced, rotated or resized. Therefore, it is especially suitable for the situations when the moving target have displacement, rotation or sizing in video series. The second part of the article provides an effective fast algorithm research on three orders correlation transformation. After applying the fast algorithm, the calculation time can be reduced to less than 6% of that with normal algorithm. In the third parts of the paper, experiments are made to test the algorithms and theories mentioned in the previous part of the article. Through the experiments, different stance of the same target in different images is detected successfully. Moving vehicles are detected in express way video series followed by the comparison of using the normal frames' differential method and the one in this article, from which it shows that the latter method is more accurate and more non-confused than the former one.