Key Frame Extraction of Surveillance Video Based on Fractional Fourier Transform

• 作者: Yunzuo Zhang Jiayu Zhang Ran Tao
• 来源期刊: 北京理工大学学报（英文版）
• 年，卷（期）: 2021,（3）
• 页码范围: 311-321
• 页数: 11页
• 语种: 英文
• DOI: 10.15918/j.jbit1004-0579.2021.058

摘要

With the vigorous development of national infrastructure construction and public in-formation construction, video surveillance systems have gradually penetrated various fields. The current key frame extraction technology has inadequate target details and inaccurate judgment of local actions. Addressing this problem, a key frame extraction method based on fractional Fourier transform is proposed. This method obtained the phase spectra information of different orders by performing fractional Fourier transform on the surveillance video frames. Next, the method de-signed an adaptive algorithm based on the golden section point to select the transformation order. Then, the phase spectrum information of two adjacent frames was used to characterize the changes in the global and local motion states of the target. The final step was to extract key frames based on this. Experimental results show that, compared with the previous methods, the key frames ex-tracted by the method proposed in this paper can correctly capture the changes in the global and local motion states of the target.