Classification for Anomalous Events using Artificial Intelligence - Abbas, Zainab K.;Al-Ani, Ayad A.
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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.…mehr

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Produktbeschreibung
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.
Autorenporträt
Zainab K. Abbas, born in Iraq,in1993.Gained B.Sc. and M.Sc. degree , in Computer Engineering from University of Technology ,in 2015 and 2018, respectively. Gained Ph.D. degree in Information and Communications Engineering from Al-Nahrain University, in 2023. Work at University of Information Technology and Communications.