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.
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