Research on foreground target extraction and image processing of surveillance video

Zonghuang Xu

doi:10.1117/12.2625591

9 December 2021 Research on foreground target extraction and image processing of surveillance video

Zonghuang Xu

Proceedings Volume 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021); 121290A (2021) https://doi.org/10.1117/12.2625591
Event: 2021 International Conference on Environmental Remote Sensing and Big Data, 2021, Wuhan, China

Abstract

Surveillance videos have been deployed throughout the "Safe City" construction to employ large-scale surveillance video information to cope with problems in security and other sectors. So how to study into foreground target extraction and image processing in surveillance video, might give useful help to generic video processing problems. Aiming at extracting foreground targets from surveillance videos with various backgrounds and targets, a matching foreground target extraction model was developed. First, a static background extraction model based on the enhanced three-frame difference technique was created using the adaptive iterative threshold method. Second, by combining the standard twoframe difference approach with the Gaussian mixture model, a dynamic background extraction model based on the neighborhood search method was developed. Finally, a dynamic backdrop extraction model for unstable shooting was created using the enhanced three-frame difference approach, corner feature matching, and linear affine transformation. The experimental results demonstrated that the model can efficiently recognize and extract the foreground targets of surveillance video, which solves the problem of extracting complicated targets.

Citation Download Citation

Zonghuang Xu "Research on foreground target extraction and image processing of surveillance video", Proc. SPIE 12129, International Conference on Environmental Remote Sensing and Big Data (ERSBD 2021), 121290A (9 December 2021); https://doi.org/10.1117/12.2625591

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