Video-based bbnormal behaviour detection in smart surveillance systems

Khalifa, Othman Omran and Abdul Khodir, Hazwani and Abdul Malik, Noreha (2020) Video-based bbnormal behaviour detection in smart surveillance systems. In: The 12th National Technical Seminar on Unmanned System Technology 2020 (NUSYS’20), 24th- 25th November 2020, Kuala Lumpur. (Unpublished)

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Abstract

Due to increasing demand for Security, the instant detection of abnormal behaior 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 (Plenary Papers)
Additional Information:	4119/85621 (Presented Online via Zoom)
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 Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	04 Dec 2020 15:55
Last Modified:	04 Dec 2020 15:55
URI:	http://irep.iium.edu.my/id/eprint/85621

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