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Solution space exploration of volumetric surveillance using a general taxonomy
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0003-1923-3843
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0002-6484-9260
Mid Sweden University, Faculty of Science, Technology and Media, Department of Electronics Design.ORCID iD: 0000-0002-3429-273X
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2013 (English)In: Proceedings of SPIE - The International Society for Optical Engineering / [ed] Daniel J. Henry, 2013, p. Art. no. 871317-Conference paper, Published paper (Refereed)
Abstract [en]

Visual surveillance systems provide real time monitoring of the events or the environment. The availability of low cost sensors and processors has increased the number of possible applications of these kinds of systems. However, designing an optimized visual surveillance system for a given application is a challenging task, which often becomes a unique design task for each system. Moreover, the choice of components for a given surveillance application out of a wide spectrum of available alternatives is not an easy job. In this paper, we propose to use a general surveillance taxonomy as a base to structure the analysis and development of surveillance systems. We demonstrate the proposed taxonomy for designing a volumetric surveillance system for monitoring the movement of eagles in wind parks aiming to avoid their collision with wind mills. The analysis of the problem is performed based on taxonomy and behavioral and implementation models are identified to formulate the solution space for the problem. Moreover, we show that there is a need for generalized volumetric optimization methods for camera deployment.

Place, publisher, year, edition, pages
2013. p. Art. no. 871317-
Series
Proceedings of SPIE, ISSN 0277-786X ; 8713
Keywords [en]
Taxonomy; surveillance; coverage; visual sensor network
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-19280DOI: 10.1117/12.2022478ISI: 000329624400038Scopus ID: 2-s2.0-84881035758Local ID: STCISBN: 978-081949504-4 (print)OAI: oai:DiVA.org:miun-19280DiVA, id: diva2:630131
Conference
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X; Baltimore, MD; United States; 1 May 2013 through 2 May 2013; Code 98146
Available from: 2013-06-18 Created: 2013-06-18 Last updated: 2016-10-19Bibliographically approved
In thesis
1. Modelling, optimization and design of visual sensor networks for sky surveillance
Open this publication in new window or tab >>Modelling, optimization and design of visual sensor networks for sky surveillance
2013 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Sundsvall: Mid Sweden University, 2013. p. 210
Series
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 166
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:miun:diva-21022 (URN)978-91-87557-11-8 (ISBN)
Supervisors
Available from: 2014-01-13 Created: 2014-01-13 Last updated: 2014-04-24Bibliographically approved

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Ahmad, NaeemImran, MuhammadKhursheed, KhursheedLawal, NajeemO'Nils, Mattias

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