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A Methodology for Defining Smart Camera Surveillance Locations in Urban Settings

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11621))

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Abstract

In this paper we propose a methodology to solve the problem of locating a set of cameras in an uncontrolled open space, such as a city. For this purpose, the geometric approach of the problem is transformed towards the optimization of a surveillance service system in which a metaheuristic model is used to maximize the service capabilities of the set of cameras.

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Authors and Affiliations

  1. Centro de Investigación en Ciencias de Información Geoespacial, Contoy 137, Col. Lomas de Padierna, Tlalpan, 14240, Mexico City, Mexico

    Rodrigo Tapia-McClung & Tania Gómez-Fernández

Authors
  1. Rodrigo Tapia-McClung
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  2. Tania Gómez-Fernández
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Corresponding author

Correspondence to Rodrigo Tapia-McClung .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Tapia-McClung, R., Gómez-Fernández, T. (2019). A Methodology for Defining Smart Camera Surveillance Locations in Urban Settings. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11621. Springer, Cham. https://doi.org/10.1007/978-3-030-24302-9_36

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  • DOI: https://doi.org/10.1007/978-3-030-24302-9_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24301-2

  • Online ISBN: 978-3-030-24302-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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