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Solution space exploration of volumetric surveillance using a general taxonomy
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.ORCID-id: 0000-0003-1923-3843
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.ORCID-id: 0000-0002-6484-9260
Mittuniversitetet, Fakulteten för naturvetenskap, teknik och medier, Avdelningen för elektronikkonstruktion.ORCID-id: 0000-0002-3429-273X
Vise andre og tillknytning
2013 (engelsk)Inngår i: Proceedings of SPIE - The International Society for Optical Engineering / [ed] Daniel J. Henry, 2013, s. Art. no. 871317-Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
2013. s. Art. no. 871317-
Serie
Proceedings of SPIE, ISSN 0277-786X ; 8713
Emneord [en]
Taxonomy; surveillance; coverage; visual sensor network
HSV kategori
Identifikatorer
URN: urn:nbn:se:miun:diva-19280DOI: 10.1117/12.2022478ISI: 000329624400038Scopus ID: 2-s2.0-84881035758Lokal ID: STCISBN: 978-081949504-4 (tryckt)OAI: oai:DiVA.org:miun-19280DiVA, id: diva2:630131
Konferanse
Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X; Baltimore, MD; United States; 1 May 2013 through 2 May 2013; Code 98146
Tilgjengelig fra: 2013-06-18 Laget: 2013-06-18 Sist oppdatert: 2016-10-19bibliografisk kontrollert
Inngår i avhandling
1. Modelling, optimization and design of visual sensor networks for sky surveillance
Åpne denne publikasjonen i ny fane eller vindu >>Modelling, optimization and design of visual sensor networks for sky surveillance
2013 (engelsk)Doktoravhandling, med artikler (Annet vitenskapelig)
sted, utgiver, år, opplag, sider
Sundsvall: Mid Sweden University, 2013. s. 210
Serie
Mid Sweden University doctoral thesis, ISSN 1652-893X ; 166
HSV kategori
Identifikatorer
urn:nbn:se:miun:diva-21022 (URN)978-91-87557-11-8 (ISBN)
Veileder
Tilgjengelig fra: 2014-01-13 Laget: 2014-01-13 Sist oppdatert: 2014-04-24bibliografisk kontrollert

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