Skip to main content

Abstract

Nowadays, the use of heterogeneous cameras is preferred to develop robust monitoring systems. Under multi-camera setups, information fusion processes are required to improve the results independently obtained from each installed camera. In addition, multi-agent systems are designed to face up the development of complex systems such as advanced monitoring systems. This paper describes the use of INT 3 technologies to develop an agent-based robust people detection and tracking system completed by a scheme for infrared and color video fusion. The system development process covers from the modeling to the implementation of the system. The meaning of the levels selected by an analyst is detailed as well as the components required to fulfil the requirements for human detection and tracking. The proposed approach has the ability to make decisions about the convenience to fuse visible and infrared spectra information.

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

Access this chapter

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 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Carneiro, D., Castillo, J.C., Novais, P., Fernández-Caballero, A., Neves, J.: Multimodal behavioral analysis for non-invasive stress detection. Expert Systems with Applications 39(18), 13376–13389 (2012)

    Article  Google Scholar 

  2. Castanedo, F., García, J., Patricio, M.A., Molina, J.: A multi-agent architecture based on the BDI model for data fusion in visual sensor networks. Journal of Intelligent and Robotic Systems 62(3-4), 299–328 (2011)

    Article  Google Scholar 

  3. Costa, A., Castillo, J.C., Novais, P., Fernández-Caballero, A., Simoes, R.: Sensor-driven agenda for intelligent home care of the elderly. Expert Systems with Applications 39(15), 12192–12204 (2012)

    Article  Google Scholar 

  4. Chiaretta, S., Nayyeri, K.: Beginning ASP.NET MVC 1.0. Wiley Publishing, Inc. (2009)

    Google Scholar 

  5. Fernández-Caballero, A., Castillo, J.C., Serrano-Cuerda, J., Maldonado-Bascón, S.: Real-time human segmentation in infrared videos. Expert Systems with Applications 38(3), 2577–2584 (2011)

    Article  Google Scholar 

  6. Fernández-Caballero, A., López, M.T., Carmona, E.J., Delgado, A.E.: A historical perspective of algorithmic lateral inhibition and accumulative computation in computer vision. Neurocomputing 74(8), 1175–1181 (2011)

    Article  Google Scholar 

  7. Fernández-Caballero, A., Castillo, J.C., López, M., Sokolova, M.V.: INT3-Horus framework for multispectrum activity interpretation in intelligent environments. Expert Systems with Applications 40(17), 6715–6727 (2013)

    Article  Google Scholar 

  8. Gascueña, J.M., Fernández-Caballero, A.: Agent-oriented modeling and development of a person-following mobile robot. Expert Systems with Applications 38(4), 4280–4290 (2011)

    Article  Google Scholar 

  9. Gascueña, J.M., Castillo, J.C., Navarro, E., Fernández-Caballero, A.: Engineering the development of systems for multisensory monitoring and activity interpretation. Int. J. of Systems Science 45(4), 728–740 (2014)

    Article  MATH  Google Scholar 

  10. Hammoud, R.I.: Augmented vision perception in infrared: Algorithms and applied systems. Springer (2009)

    Google Scholar 

  11. Lewis, J.J., O’ Callaghan, R.J., Nikolov, S.G., Bull, D.R., Canagarajah, N.: Pixel- and region-based image fusion with complex wavelets. Information Fusion 8(2), 119–130 (2007)

    Article  Google Scholar 

  12. Luo, R.C., Kay, M.G.: Data fusion and sensor integration: State of the art 1990s. In: Abidi, M.A., Gonzalez, R.C. (eds.) Data Fusion in Robotics and Machine Intelligence, pp. 7–135. Academic Press, San Diego (1992)

    Google Scholar 

  13. Muñoz-Salinas, R., Aguirre, E., García-silvente, M., Ayesh, A., Góngora, M.: Multi-agent system for people detection and tracking using stereo vision in mobile robots. Robotica 27(5), 715–727 (2009)

    Article  Google Scholar 

  14. Pavón, J., Gómez-Sanz, J., Fernández-Caballero, A., Valencia-Jiménez, J.J.: Development of intelligent multisensor surveillance systems with agents. Robotics and Autonomous Systems 55(12), 892–903 (2007)

    Article  Google Scholar 

  15. Reenskaug, T.: Thing-Model-View-Editor - An example from a planning system. Technical note, Xerox PARC (1979)

    Google Scholar 

  16. Serrano-Cuerda, J., María, T., López, M., Fernández-Caballero, A.: Robust Human Detection and Tracking in Intelligent Environments by Information Fusion of Color and Infrared Video. In: 7th Int. Conf. on Intelligent Environments, pp. 354–357 (2011)

    Google Scholar 

  17. Stefano, L., Tombari, F., Lisi, E., Mattoccia, S.: Robust and accurate change detection under sudden illumination variations. In: Workshop on Multi-dimensional and Multi-view Image Processing, pp. 103–109 (2007)

    Google Scholar 

  18. Weyns, D.: Architecture-based design of multi-agent systems. Springer (2010)

    Google Scholar 

  19. Wooldridge, M.: An Introduction to MultiAgent Systems, 2nd edn. John Wiley & Sons (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Gascueña, J.M., Serrano-Cuerda, J., Castillo, J.C., Fernández-Caballero, A., López, M.T. (2014). A Multi-agent System for Infrared and Color Video Fusion. In: Bajo Perez, J., et al. Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. Advances in Intelligent Systems and Computing, vol 293. Springer, Cham. https://doi.org/10.1007/978-3-319-07476-4_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07476-4_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07475-7

  • Online ISBN: 978-3-319-07476-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics