The Research of Moving Objects Detection Using HOS
基于不变性变换的运动目标检测的研究

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.