Towards a cloud-based automated surveillance system using wireless technologies

J.J. Salmerón-García, S. van den Dries, F. Díaz-del-Río (Corresponding author), A. Morgado-Estevez, J.L. Sevillano-Ramos, M.J.G. van de Molengraft

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)

Abstract

Cloud Computing can bring multiple benefits for Smart Cities. It permits the easy creation of centralized knowledge bases, thus straightforwardly enabling that multiple embedded systems (such as sensor or control devices) can have a collaborative, shared intelligence. In addition to this, thanks to its vast computing power, complex tasks can be done over low-spec devices just by offloading computation to the cloud, with the additional advantage of saving energy. In this work, cloud’s capabilities are exploited to implement and test a cloud-based surveillance system. Using a shared, 3D symbolic world model, different devices have a complete knowledge of all the elements, people and intruders in a certain open area or inside a building. The implementation of a volumetric, 3D, object-oriented, cloud-based world model (including semantic information) is novel as far as we know. Very simple devices (orange Pi) can send RGBD streams (using kinect cameras) to the cloud, where all the processing is distributed and done thanks to its inherent scalability. A proof-of-concept experiment is done in this paper in a testing lab with multiple cameras connected to the cloud with 802.11ac wireless technology. Our results show that this kind of surveillance system is possible currently, and that trends indicate that it can be improved at a short term to produce high performance vigilance system using low-speed devices. In addition, this proof-of-concept claims that many interesting opportunities and challenges arise, for example, when mobile watch robots and fixed cameras would act as a team for carrying out complex collaborative surveillance strategies.
Original languageEnglish
Pages (from-to)535-549
Number of pages15
JournalMultimedia Systems
Volume25
Issue number5
Early online date4 Jul 2017
DOIs
Publication statusPublished - 1 Oct 2019

Fingerprint

Cameras
Cloud computing
Embedded systems
Scalability
Energy conservation
Semantics
Robots
Sensors
Testing
Processing
Experiments
Smart city

Keywords

  • Cloud robotics
  • Computation offloading
  • RGBD cameras
  • Surveillance
  • Wireless communication
  • World modeling

Cite this

Salmerón-García, J. J., van den Dries, S., Díaz-del-Río, F., Morgado-Estevez, A., Sevillano-Ramos, J. L., & van de Molengraft, M. J. G. (2019). Towards a cloud-based automated surveillance system using wireless technologies. Multimedia Systems, 25(5), 535-549. https://doi.org/10.1007/s00530-017-0558-5
Salmerón-García, J.J. ; van den Dries, S. ; Díaz-del-Río, F. ; Morgado-Estevez, A. ; Sevillano-Ramos, J.L. ; van de Molengraft, M.J.G. / Towards a cloud-based automated surveillance system using wireless technologies. In: Multimedia Systems. 2019 ; Vol. 25, No. 5. pp. 535-549.
@article{51dd1a97e6da4845b32f0d0d7a64a8f5,
title = "Towards a cloud-based automated surveillance system using wireless technologies",
abstract = "Cloud Computing can bring multiple benefits for Smart Cities. It permits the easy creation of centralized knowledge bases, thus straightforwardly enabling that multiple embedded systems (such as sensor or control devices) can have a collaborative, shared intelligence. In addition to this, thanks to its vast computing power, complex tasks can be done over low-spec devices just by offloading computation to the cloud, with the additional advantage of saving energy. In this work, cloud’s capabilities are exploited to implement and test a cloud-based surveillance system. Using a shared, 3D symbolic world model, different devices have a complete knowledge of all the elements, people and intruders in a certain open area or inside a building. The implementation of a volumetric, 3D, object-oriented, cloud-based world model (including semantic information) is novel as far as we know. Very simple devices (orange Pi) can send RGBD streams (using kinect cameras) to the cloud, where all the processing is distributed and done thanks to its inherent scalability. A proof-of-concept experiment is done in this paper in a testing lab with multiple cameras connected to the cloud with 802.11ac wireless technology. Our results show that this kind of surveillance system is possible currently, and that trends indicate that it can be improved at a short term to produce high performance vigilance system using low-speed devices. In addition, this proof-of-concept claims that many interesting opportunities and challenges arise, for example, when mobile watch robots and fixed cameras would act as a team for carrying out complex collaborative surveillance strategies.",
keywords = "Cloud robotics, Computation offloading, RGBD cameras, Surveillance, Wireless communication, World modeling",
author = "J.J. Salmer{\'o}n-Garc{\'i}a and {van den Dries}, S. and F. D{\'i}az-del-R{\'i}o and A. Morgado-Estevez and J.L. Sevillano-Ramos and {van de Molengraft}, M.J.G.",
year = "2019",
month = "10",
day = "1",
doi = "10.1007/s00530-017-0558-5",
language = "English",
volume = "25",
pages = "535--549",
journal = "Multimedia Systems",
issn = "0942-4962",
publisher = "Springer",
number = "5",

}

Salmerón-García, JJ, van den Dries, S, Díaz-del-Río, F, Morgado-Estevez, A, Sevillano-Ramos, JL & van de Molengraft, MJG 2019, 'Towards a cloud-based automated surveillance system using wireless technologies', Multimedia Systems, vol. 25, no. 5, pp. 535-549. https://doi.org/10.1007/s00530-017-0558-5

Towards a cloud-based automated surveillance system using wireless technologies. / Salmerón-García, J.J.; van den Dries, S.; Díaz-del-Río, F. (Corresponding author); Morgado-Estevez, A.; Sevillano-Ramos, J.L.; van de Molengraft, M.J.G.

In: Multimedia Systems, Vol. 25, No. 5, 01.10.2019, p. 535-549.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Towards a cloud-based automated surveillance system using wireless technologies

AU - Salmerón-García, J.J.

AU - van den Dries, S.

AU - Díaz-del-Río, F.

AU - Morgado-Estevez, A.

AU - Sevillano-Ramos, J.L.

AU - van de Molengraft, M.J.G.

PY - 2019/10/1

Y1 - 2019/10/1

N2 - Cloud Computing can bring multiple benefits for Smart Cities. It permits the easy creation of centralized knowledge bases, thus straightforwardly enabling that multiple embedded systems (such as sensor or control devices) can have a collaborative, shared intelligence. In addition to this, thanks to its vast computing power, complex tasks can be done over low-spec devices just by offloading computation to the cloud, with the additional advantage of saving energy. In this work, cloud’s capabilities are exploited to implement and test a cloud-based surveillance system. Using a shared, 3D symbolic world model, different devices have a complete knowledge of all the elements, people and intruders in a certain open area or inside a building. The implementation of a volumetric, 3D, object-oriented, cloud-based world model (including semantic information) is novel as far as we know. Very simple devices (orange Pi) can send RGBD streams (using kinect cameras) to the cloud, where all the processing is distributed and done thanks to its inherent scalability. A proof-of-concept experiment is done in this paper in a testing lab with multiple cameras connected to the cloud with 802.11ac wireless technology. Our results show that this kind of surveillance system is possible currently, and that trends indicate that it can be improved at a short term to produce high performance vigilance system using low-speed devices. In addition, this proof-of-concept claims that many interesting opportunities and challenges arise, for example, when mobile watch robots and fixed cameras would act as a team for carrying out complex collaborative surveillance strategies.

AB - Cloud Computing can bring multiple benefits for Smart Cities. It permits the easy creation of centralized knowledge bases, thus straightforwardly enabling that multiple embedded systems (such as sensor or control devices) can have a collaborative, shared intelligence. In addition to this, thanks to its vast computing power, complex tasks can be done over low-spec devices just by offloading computation to the cloud, with the additional advantage of saving energy. In this work, cloud’s capabilities are exploited to implement and test a cloud-based surveillance system. Using a shared, 3D symbolic world model, different devices have a complete knowledge of all the elements, people and intruders in a certain open area or inside a building. The implementation of a volumetric, 3D, object-oriented, cloud-based world model (including semantic information) is novel as far as we know. Very simple devices (orange Pi) can send RGBD streams (using kinect cameras) to the cloud, where all the processing is distributed and done thanks to its inherent scalability. A proof-of-concept experiment is done in this paper in a testing lab with multiple cameras connected to the cloud with 802.11ac wireless technology. Our results show that this kind of surveillance system is possible currently, and that trends indicate that it can be improved at a short term to produce high performance vigilance system using low-speed devices. In addition, this proof-of-concept claims that many interesting opportunities and challenges arise, for example, when mobile watch robots and fixed cameras would act as a team for carrying out complex collaborative surveillance strategies.

KW - Cloud robotics

KW - Computation offloading

KW - RGBD cameras

KW - Surveillance

KW - Wireless communication

KW - World modeling

UR - http://www.scopus.com/inward/record.url?scp=85021827190&partnerID=8YFLogxK

U2 - 10.1007/s00530-017-0558-5

DO - 10.1007/s00530-017-0558-5

M3 - Article

VL - 25

SP - 535

EP - 549

JO - Multimedia Systems

JF - Multimedia Systems

SN - 0942-4962

IS - 5

ER -

Salmerón-García JJ, van den Dries S, Díaz-del-Río F, Morgado-Estevez A, Sevillano-Ramos JL, van de Molengraft MJG. Towards a cloud-based automated surveillance system using wireless technologies. Multimedia Systems. 2019 Oct 1;25(5):535-549. https://doi.org/10.1007/s00530-017-0558-5