Hierarchical video surveillance architecture: a chassis for video big data analytics and exploration

Ajiboye, Sola O, Birch, Philip, Chatwin, Christopher and Young, Rupert (2015) Hierarchical video surveillance architecture: a chassis for video big data analytics and exploration. Published in: Loce, Robert P and Saber, Eli, (eds.) Proceedings of the IS&T/SPIE Electronic Imaging Conference on Video Surveillance and Transportation Imaging Applications; San Francisco, California, United States; 10–12 February 2015. 9407 K. SPIE / IS&T ISSN 0277-786X ISBN 9781628414974

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Abstract

There is increasing reliance on video surveillance systems for systematic derivation, analysis and interpretation of the data needed for predicting, planning, evaluating and implementing public safety. This is evident from the massive number of surveillance cameras deployed across public locations. For example, in July 2013, the British Security Industry Association (BSIA) reported that over 4 million CCTV cameras had been installed in Britain alone. The BSIA also reveal that only 1.5% of these are state owned. In this paper, we propose a framework that allows access to data from privately owned cameras, with the aim of increasing the efficiency and accuracy of public safety planning, security activities, and decision support systems that are based on video integrated surveillance systems. The accuracy of results obtained from government-owned public safety infrastructure would improve greatly if privately owned surveillance systems ‘expose’ relevant video-generated metadata events, such as triggered alerts and also permit query of a metadata repository. Subsequently, a police officer, for example, with an appropriate level of system permission can query unified video systems across a large geographical area such as a city or a country to predict the location of an interesting entity, such as a pedestrian or a vehicle. This becomes possible with our proposed novel hierarchical architecture, the Fused Video Surveillance Architecture (FVSA). At the high level, FVSA comprises of a hardware framework that is supported by a multi-layer abstraction software interface. It presents video surveillance systems as an adapted computational grid of intelligent services, which is integration-enabled to communicate with other compatible systems in the Internet of Things (IoT).

Item Type: Conference Proceedings
Additional Information: Copyright (2015) Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Industrial Informatics and Signal Processing Research Group
Depositing User: Soladoye Ajiboye
Date Deposited: 13 Feb 2015 13:11
Last Modified: 26 Jun 2017 13:39
URI: http://sro.sussex.ac.uk/id/eprint/47151

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