Skip to main content

A Flexible Software Architecture for a Network of Heterogeneous Smart Cameras

  • Conference paper
  • First Online:
  • 665 Accesses

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 525))

Abstract

This paper presents a flexible software solution, facilitating easy deployment and control of individual sensor nodes in a camera network. The presented solution is lightweight, extensible and provides an easy to use base for the implementation of a range of collaborative tasks performed by multi-camera setups.

The original version of this chapter was revised: The spelling of the first author’s name was corrected. The erratum to this chapter is available at DOI: 10.1007/978-3-319-47274-4_34

An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-47274-4_34

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Notes

  1. 1.

    https://github.com/PUTvision/VSNServer.

  2. 2.

    https://github.com/PUTvision/VSNClient.

References

  1. Aghajan, H., Cavallaro, A.: Multi-camera Networks: Principles and Applications. Academic press, London (2009)

    Google Scholar 

  2. Bajo, J., Paz, J.F.D., Villarrubia, G., Corchado, J.M.: Self-organizing architecture for information fusion in distributed sensor networks. Int. J. Distrib. Sen. Netw. 2015, 2 (2015)

    Google Scholar 

  3. Belbachir, A.N.: Smart Cameras. Springer, Heidelberg (2010)

    Book  Google Scholar 

  4. Bhanu, B., Ravishankar, C., Roy-Chowdhury, A., Aghajan, H., Terzopoulos, D.: Distributed Video Sensor Networks. Springer, London (2011)

    Book  Google Scholar 

  5. Bobda, C., Velipasalar, S.: Distributed Embedded Smart Cameras. Springer, New York (2014)

    Book  Google Scholar 

  6. Chen, P., Hong, K., Naikal, N., Sastry, S.S., Tygar, D., Yan, P., Yang, A.Y., Chang, L.C., Lin, L., Wang, S., Lobatón, E., Oh, S., Ahammad, P.: A low-bandwidth camera sensor platform with applications in smart camera networks. ACM Trans. Sens. Netw. 9(2), 21:1–21:23 (2013)

    Article  Google Scholar 

  7. Cozzolino, A., Flammini, F., Galli, V., Lamberti, M., Poggi, G., Pragliola, C.: Evaluating the effects of MJPEG compression on motion tracking in metro railway surveillance. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P., Zemčík, P. (eds.) ACIVS 2012. LNCS, vol. 7517, pp. 142–154. Springer, Heidelberg (2012). doi:10.1007/978-3-642-33140-4_13

    Chapter  Google Scholar 

  8. Dadashi, N., Stedmon, A., Pridmore, T.: Semi-automated CCTV surveillance: the effects of system confidence, system accuracy and task complexity on operator vigilance, reliance and workload. Appl. Ergon. 44(5), 730–738 (2013)

    Article  Google Scholar 

  9. Dieber, B., Simonjan, J., Esterle, L., Rinner, B., Nebehay, G., Pflugfelder, R., Fernandez, G.J.: Ella: middleware for multi-camera surveillance in heterogeneous visual sensor networks. In: 2013 Seventh International Conference on Distributed Smart Cameras (ICDSC), pp. 1–6. IEEE (2013)

    Google Scholar 

  10. Kraft, M., Fularz, M., Schmidt, A.: Collaborative, context based activity control method for camera networks. In: Battiato, S., Blanc-Talon, J., Gallo, G., Philips, W., Popescu, D., Scheunders, P. (eds.) ACIVS 2015. LNCS, vol. 9386, pp. 118–129. Springer, Heidelberg (2015). doi:10.1007/978-3-319-25903-1_11

    Chapter  Google Scholar 

  11. Ma, T., Hempel, M., Peng, D., Sharif, H.: A survey of energy-efficient compression and communication techniques for multimedia in resource constrained systems. Commun. Surv. Tutor. IEEE 15(3), 963–972 (2013)

    Article  Google Scholar 

  12. McFarlane, N., Schofield, C.: Segmentation and tracking of piglets in images. Mach. Vis. Appl. 8, 187–193 (1995)

    Article  Google Scholar 

  13. Miller, L., Abas, K., Obraczka, K.: Scmesh: solar-powered wireless smart camera mesh network. In: 2015 24th International Conference on Computer Communication and Networks (ICCCN), pp. 1–8, August 2015

    Google Scholar 

  14. Saini, M.K., Atrey, P.K., Saddik, A.E.: From smart camera to smarthub: embracing cloud for video surveillance. Int. J. Distrib. Sens. Netw. 2014, 1–10 (2014)

    Article  Google Scholar 

  15. Tessens, L., Morbee, M., Aghajan, H., Philips, W.: Camera selection for tracking in distributed smart camera networks. ACM Trans. Sen. Netw. 10(2), 23:1–23:33 (2014)

    Article  Google Scholar 

Download references

Acknowledgement

This research was financed by the Polish National Science Centre grant funded according to the decision DEC-2011/03/N/ST6/03022, which is gratefully acknowledged.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Marek Kraft .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Pieczyński, D., Kraft, M., Fularz, M. (2017). A Flexible Software Architecture for a Network of Heterogeneous Smart Cameras. In: Choraś, R. (eds) Image Processing and Communications Challenges 8. IP&C 2016. Advances in Intelligent Systems and Computing, vol 525. Springer, Cham. https://doi.org/10.1007/978-3-319-47274-4_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-47274-4_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47273-7

  • Online ISBN: 978-3-319-47274-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics