Video-based abnormal behaviour detection in smart surveillance systems

Khalifa, Othman Omran and Abdul Khodir, Hazwani and Abdul Malik, Noreha and Abdul Malek, Norun Farihah (2022) Video-based abnormal behaviour detection in smart surveillance systems. In: 12th National Technical Seminar on Unmanned System Technology, NUSYS 2020, 24-25 November 2020, Online.

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Abstract

Due to increasing demand for security, the instant detection of abnormal behavior in video surveillance systems becomes a critical issue in a smart surveillance system. The currently applied semiautomatic systems mainly depend on human intervention to detect the abnormal activities and suspicious human behaviours from video context. Due to these limitations, it has become an urgent need for intelligence systems to avoid the very slow response and reduce the human observer and interventions. In this paper, a method that can trace abnormalities of human behaviour from video is presented. Techniques related to bounding box measurements and descriptions for behaviour representation were used. Moreover, the performance evaluation of the proposed method is presented.

Item Type:	Conference or Workshop Item (Other)
Uncontrolled Keywords:	Video surveillance systems Human activities Abnormality detection Motion analysis
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	22 Aug 2022 16:29
Last Modified:	22 Aug 2022 16:29
URI:	http://irep.iium.edu.my/id/eprint/99534

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