Makine Öğrenmesi Algoritmalarıyla Kalabalık Ortamlarda Anomali Tespiti

Camera systems have a very important place as they are widely used in providing security crowded environments. The video images recorded by cameras examined to check whether there is dangerous or unusual behavior. It tried develop appropriate measures according the result of this control. Modeling human behaviors for definition and detection abnormal behavior has become popular research area recent years. This study was carried out applying supervised learning algorithms, one machine methods, on five different scenes that two open data sets. Normal motion were detected videos In these sets, total locations. Random Forest, Support Vector Machines k Nearest Neighbor which among process. algorithms compared with performance criteria such accuracy, sensitivity, precision F1 score.