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Cooperative Video-Surveillance Framework in Internet of Things (IoT) Domain

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The Internet of Things for Smart Urban Ecosystems

Part of the book series: Internet of Things ((ITTCC))

Abstract

In this chapter a cooperative heterogeneous system for an enhanced video-surveillance service will be presented. Edge and fog computing architectures make possible the realization of even more complex and distributed services. Moreover, the distribution of sensors and devices gives us the possibility to increase the knowledge of the monitored environments by exploiting Machine to Machine (M2M) communications protocols and their architectures. The rapid growth of IoT increased the number of the smart devices able to acquire, actuate and exchange information in a smart way. In this chapter, the main issues related to the design of an architecture for a smart cooperative video-surveillance system will be presented. The end-system shall exploit edge and fog computing for video-analytics services and communication protocols for cameras data exchange. Finally, all systems together realize a cooperative tracking among cameras that involves detection and tracking techniques to work jointly. At the end a detected anomaly can be followed among cameras generating alerting and notifying messages that will be sent to the designed human interaction system without explicit human interactions in the detection, tracking and system managing processes.

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Author information

Authors and Affiliations

  1. DIMES - University of Calabria, Pietro Bucci street, Rende, Italy

    A. F. Santamaria, P. Raimondo, N. Palmieri, M. Tropea & F. De Rango

Authors
  1. A. F. Santamaria
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  2. P. Raimondo
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  3. N. Palmieri
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  4. M. Tropea
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  5. F. De Rango
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Corresponding author

Correspondence to A. F. Santamaria .

Editor information

Editors and Affiliations

  1. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Franco Cicirelli

  2. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Antonio Guerrieri

  3. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Carlo Mastroianni

  4. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Giandomenico Spezzano

  5. Institute for High Performance Computing and Networking (ICAR), National Research Council (CNR), Rende (CS), Italy

    Andrea Vinci

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Santamaria, A.F., Raimondo, P., Palmieri, N., Tropea, M., De Rango, F. (2019). Cooperative Video-Surveillance Framework in Internet of Things (IoT) Domain. In: Cicirelli, F., Guerrieri, A., Mastroianni, C., Spezzano, G., Vinci, A. (eds) The Internet of Things for Smart Urban Ecosystems. Internet of Things. Springer, Cham. https://doi.org/10.1007/978-3-319-96550-5_13

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  • DOI: https://doi.org/10.1007/978-3-319-96550-5_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-96549-9

  • Online ISBN: 978-3-319-96550-5

  • eBook Packages: EngineeringEngineering (R0)

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