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An Adaptive Classifier Based Approach for Crowd Anomaly Detection
2022
Computers Materials & Continua
Crowd Anomaly Detection has become a challenge in intelligent video surveillance system and security. Intelligent video surveillance systems make extensive use of data mining, machine learning and deep learning methods. In this paper a novel approach is proposed to identify abnormal occurrences in crowded situations using deep learning. In this approach, Adaptive GoogleNet Neural Network Classifier with Multi-Objective Whale Optimization Algorithm are applied to predict the abnormal video
doi:10.32604/cmc.2022.023935
fatcat:l7vqii736rf7rd7c5hvhurwiq4