Intelligent video surveillance technology based on Mean Shift

Xiaoqing Xue; Bo Chen; Ting Liu

doi:10.1117/12.3005034

20 October 2023 Intelligent video surveillance technology based on Mean Shift

Xiaoqing Xue, Bo Chen, Ting Liu

Proceedings Volume 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023); 1291617 (2023) https://doi.org/10.1117/12.3005034
Event: Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 2023, Kunming, China

Abstract

In order to monitor the video state changes of safe human settlements in real time, a Mean Shift algorithm is proposed. The video monitoring images collected in real time were preprocessed with enhancement and denoising, and the gray distribution was extracted to form the feature matrix of the image. The monitoring images collected in real time by the monitoring system and the monitoring images in normal state were classified by Mean Shift algorithm. Experiments show that Mean Shift algorithm has fast convergence speed and high accuracy, and can effectively screen out abnormal images and improve retrieval efficiency.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoqing Xue, Bo Chen, and Ting Liu "Intelligent video surveillance technology based on Mean Shift", Proc. SPIE 12916, Third International Conference on Signal Image Processing and Communication (ICSIPC 2023), 1291617 (20 October 2023); https://doi.org/10.1117/12.3005034

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