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Intelligent Surveillance for Missing Persons by Mr Snite's is a document available to read on EtoBox.

This project develops an intelligent surveillance system aimed at real-time detection of missing persons, particularly vulnerable groups such as children and individuals with dementia, utilizing advanced machine learning models like YOLO v8 and Kalman filters for accurate tracking. The system integrates various techniques including person re-identification through Siamese networks and cosine similarity for feature comparison, enhancing the efficiency and reliability of monitoring. By addressing existing lim

Author
Mr Snite's
Language
EN