Abstract:
Abstract： A technique is proposed for abnormal section detection and rank classification in video sequences.Firstly，the histogram is selected to describe the color change in the section，so the histogram of the frames selected from the section compose the histogram matrix.In order to improve the process efficiency，the Principal Components Analysis（PCA） is used to reduce dimensions of the histogram matrix.Then the information of frames differences is used to describe the motion change information.Lastly，the results of the two characters are fused to get the final result.This method is experimented with some samples.The results show that this method can realize the abnormal detection and rank classification of video sequences，and the results are better than the other related techniques.

摘要： 提出了一种对视频序列进行段奇异性检测和等级划分的方法。该方法首先选择直方图信息来体现段内颜色变化情况，将段内所选视频帧的直方图组合成直方图矩阵。为了提高处理效率，利用主成分分析对直方图矩阵进行降维。然后选择帧间信息来体现段内的运动变化情况。最后，将两类特征的结果进行融合，得到最终的检测结果。该方法对一定数量的样本进行了实验，实验结果表明，该方法能够很好地实现视频段的奇异性检测和排序，性能也比其他方法有所提高。