摘要
With the vigorous development of national infrastructure construction and public information 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 designed 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 extracted by the method proposed in this paper can correctly capture the changes in the global and local motion states of the target.
作者
Yunzuo Zhang
Jiayu Zhang
Ran Tao
Yunzuo Zhang;Jiayu Zhang;Ran Tao(School of Information and Electronics,Beijing Institute of Technology,Beijing 100081,China)
基金
supported by the National Natural Science Foundation of China(Nos.61702347,62027801 and 61972267)
Natural Science Fund of Hebei Province(No.F2017210161),and Hebei Province Graduate Student Innovation Ability Training Funding Project.
