Tuesday, 31 October 2023 19:02

A doctoral thesis in the Department of Computer Science discusses strangeness localization in crowded video scenes using a 3D convolutional neural network and a mixed descriptor algorithm.

- The Department of Computer Science discussed the doctoral thesis Localization Of Strangeness From Crowded Video Scenes Using 3D Convolutional Neural Network And Hybrid Descriptors Algorithm For the student (Ali Abd Hussein Aziz), Computer Science/General, today, Tuesday, 10/31/2023, in the discussion room in the Computer Science Department building. The thesis aims to use technology to identify moving elements in video scenes and determine whether the scenes are crowded or not based on the quantity of those things by looking at various human actions to enhance the ability and accuracy in distinguishing between human activity and video strangeness. The discussion committee consisted of Prof. Dr. Mathil Emad Al-Din Abdel Moneim as Chairman, and Prof. Dr. Hala Bahjat Abdel Wahab, M.D., as a member. Rehab Falih Hassan, Prof. Dr. Rahim Abdel-Saheb Okla, Prof. Nadia Fadel Al-Bakri, Prof. Dr. Shaima Hamid Shaker, member and supervisor, and Dr. Iqbas Ezzedine, member and supervisor.

 

Source: Department's Media

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