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Title: An integrated framework for CCTV infrastructures deployment in KSA : towards an automated surveillance
Author: Almotaeryi, Resheed
ISNI:       0000 0004 7965 5447
Awarding Body: Northumbria University
Current Institution: Northumbria University
Date of Award: 2018
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The process of implementation and installation of CCTV has been a sensitive issue across the world, leading to significant political, economic, social and legal implications. Saudi Arabia, like most countries of the world, has been engaged in the deployment of CCTV surveillance systems for many years now. However, the recent developments, as regards stepping up security against possible terror attacks, has led the decision-makers to begin considering the deployment of a significantly large number of cameras in most sensitive public places across the country. The Saudi laws are based on the Sharia Law which clearly states that no picture/video of any Muslim women or men should be taken without their full consent. In the light of this law, the case for extensive networks of CCTV surveillance has proven to be extremely challenging for the decision-makers in the country. Accordingly, two questions have emerged: 1) how to measure the extent of the cultural and traditional values on the deployment of CCTV systems within the Kingdom? 2) How to develop a framework for effective deployment of CCTV systems in KSA? In the light of these questions, the research has, in addition to the examination of the literature, used three case studies and applied a questionnaire and a number of interviews. The application of statistical techniques revealed several useful findings. The potential safety of CCTV, from respondents point of view, turned out to be highly satisfactory, but a large majority of participants were concerned about two issues: privacy invasion, and controllers' misuse/ abuse of CCTV recordings. The concern about CCTV seems to outweigh the benefits. The study therefore recommends that a nationwide set of regulatory measures need to be developed to incorporate, among many issues, the training programmes for all the control rooms staff, particularly those in charge of public places. Finally, as a potential application of CCTV, the study proposes an automated human detection system based on a Laplacian fitting concept based on human silhouette extraction. With this scheme, a robust human silhouette extraction can be maintained with little human intervention, saving significant amount of man efforts in video processing.
Supervisor: Bouridane, Ahmed ; Jiang, Richard Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: G400 Computer Science