Classification for Anomalous Events using Artificial Intelligence

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.