Classification for Anomalous Events using Artificial Intelligence.

      Аннотация: In the recent years, there is a great interest in the field of Anomalous Event Detection System (AEDS). Providing security for a person is a key issue in every community nowadays, existing classical closed-circuit television considered is insufficient since it needs a person to stay awake and constantly monitor the cameras. For these reasons, the development of an automated security system that can identify suspicious activities in real-time and quickly aid victims is required. This work, attempt to design and implement an AEDS, that would improve detection accuracy and reduce the processing time.

Ключевые слова: Machine Learning, Deep Learning, Anomaly Detection, video surveillance, genetic algorithm, PCA, Anomaly Classification