Open Access

ARTICLE

Key Frame Extraction of Surveillance Video Based on Frequency Domain Analysis

Yunzuo Zhang^1,*, Shasha Zhang¹, Jiayu Zhang¹, Kaina Guo¹, Zhaoquan Cai²

1 School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China
2 Department of Computer Science and Engineering, Huizhou University, Huizhou, 516007, China

* Corresponding Author: Yunzuo Zhang. Email:

Intelligent Automation & Soft Computing 2021, 29(1), 259-272. https://doi.org/10.32604/iasc.2021.017200

Received 23 January 2021; Accepted 25 March 2021; Issue published 12 May 2021

Abstract

Video key frame extraction, reputed as an essential step in video analysis and content-based video retrieval, and meanwhile, also serves as the basis and premise of generating video synopsis. Video key frame extraction means extracting the meaningful parts of the video by analyzing their content and structure to form a concise and semantically expressive summary. Up to now, people have achieved many research results in key frame extraction. Nevertheless, because the surveillance video has no specific structure, such as news, sports games, and other videos, it is not accurate enough to directly extract the key frame with the existing effective key frame extraction method. Hence, based on frequency domain analysis, this paper proposed a key frame extraction method for surveillance video, which obtains the frequency spectrum and phase spectrum by performing Fourier transform on the surveillance video frames. Using the frequency domain information of two adjacent frames can accurately reflect the global motion state changes and local motion state changes of the moving target. Experimental results show that the proposed method is correct and effective, and the extracted key frames can more accurately capture the changes in the global and local motion states of the target compared with the previous methods.

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Citations