In this article. we propose the detection of crowd anomalies through the extraction of information in the form of time series in video format using a multimodal approach. Through pattern recognition algorithms and segmentation. informative measures of the number of people and image occupancy are extracted at regular intervals. https://hollandscountryclothinges.shop/product-category/horse-accessories/
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