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Railway Station Surveillance System Design: A Real Application of an Optimal Coverage Approach

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Critical Information Infrastructures Security (CRITIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10242))

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Abstract

The design of an effective and efficient surveillance system is fundamental for the protection of the Critical Infrastructures. In a railway station, this requirement turns on as an urgent prerequisite: for its intrinsic nature, a station represents a complex environment to be monitored for both safety and security reasons. In this work, we show how the video surveillance system of a real terminal railway station can be effectively designed in terms of sensor placement problem using an optimal coverage approach. The obtained results confirm the effectiveness of the proposed method in supporting security experts in both the design and reconfiguration of a surveillance system, in order to increase the asset security level.

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References

  1. Azim, A., Aycard, O.: Detection, classification and tracking of moving objects in a 3D environment. In: IEEE Intelligent Vehicles Symposium (IV), Alcal de Henares (2012)

    Google Scholar 

  2. Berman, O., Drezner, Z., Krass, D.: Generalized coverage: new developments in covering location models. Comput. Oper. Res. 37, 1675–1687 (2010)

    Article  MathSciNet  MATH  Google Scholar 

  3. Bocchetti, C., Flammini, F., Pragliola, C., Pappalardo, A.: Dependable integrated surveillance systems for the physical security of metro railways. In: Third ACM/IEEE International Conference on IEEE Distributed Smart Cameras (ICDSC 2009), pp. 1–7 (2009)

    Google Scholar 

  4. Boccia, M., Sforza, A., Sterle, C.: Flow intercepting facility location: problems, models and heuristics. J. Math. Model. Algorithms 8(1), 35–79 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  5. Caprara, A., Toth, P., Fischetti, M.: Algorithms for set covering problem. Ann. Oper. Res. 98, 353–371 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  6. Chow, T., Cho, S.Y.: Industrial neural vision system for underground railway station platform surveillance. Adv. Eng. Inform. 16(1), 73–83 (2002)

    Article  Google Scholar 

  7. De Cillis, F., De Maggio, M.C., Pragliola, C., Setola, R.: Analysis of criminal and terrorist related episodes in railway infrastructure scenarios. J. Homel. Secur. Emerg. Manag. 10(2), 447–476 (2013)

    Google Scholar 

  8. De Cillis, F., De Maggio, M.C., Setola, R.: Vulnerability assessment in RIS scenario through a synergic use of the CPTED methodology and the system dynamics approach. In: Setola, R., Sforza, A., Vittorini, V., Pragliola, C. (eds.) Railway Infrastructure Security, Topics in Safety, Risk, Reliability and Quality, pp. 65–89. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-04426-2_4

    Google Scholar 

  9. Ercan, A.O., El Gamal, A., Guibas, L.J.: Object tracking in the presence of occlusions using multiple cameras: a sensor network approach. ACM Trans. Sens. Netw. (TOSN) 9(2), 16–52 (2013)

    Google Scholar 

  10. Guvensan, M.A., Gokhan, Y.: On coverage issues in directional sensor networks: a survey. Ad Hoc Netw. 9(7), 1238–1255 (2011)

    Article  Google Scholar 

  11. Joshi, U., Patel, K.: Object tracking and classification under illumination variations. Int. J. Eng. Dev. Res. (IJEDR) 4(1), 667–670 (2016)

    Google Scholar 

  12. Mavrinac, A., Chen, X.: Modeling coverage in camera networks: a survey. Int. J. Comput. Vis. 101(1), 205–226 (2013)

    Article  MathSciNet  Google Scholar 

  13. Moon, T.H., Heo, S.Y., Leem, Y.T., Nam, K.W.: An analysis on the appropriateness and effectiveness of CCTV location for crime prevention. World Acad. Sci. Eng. Tech. Int. J. Soc. Behav. Educ. Econ. Bus. Ind. Eng. 9(3), 836–843 (2015)

    Google Scholar 

  14. Oh, S., Park, S., Lee, C.: A platform surveillance monitoring system using image processing for passenger safety in railway station. In: International Conference on Control, Automation and Systems, Seoul (2007)

    Google Scholar 

  15. Pathak, S., Aishwarya, P., Sunayana, K., Apurva, M.: Activity detection in video surveillance system. Int. J. Res. Advent Technol. 19–25 (2016). E-ISSN: 2321-9637

    Google Scholar 

  16. Ronetti, N., Dambra, C.: Railway station surveillance: the Italian case. In: Foresti, G.L., Mähönen, P., Regazzoni, C.S. (eds.) Multimedia Video-Based Surveillance Systems, pp. 13–20. Springer, Boston (2000). https://doi.org/10.1007/978-1-4615-4327-5_2

    Chapter  Google Scholar 

  17. Shi, G., Chang, L., Shuyuan, Z.: Research on passenger recognition system based on video image processing in railway passenger station. In: International Conference on Information Sciences, Machinery, Materials and Energy (ICISMME), Chongqing (2015)

    Google Scholar 

  18. Setola, R., Sforza, A., Vittorini, V., Pragliola, C. (eds.): Railway Infrastructure Security. Topics in Safety, Risk, Reliability and Quality. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-04426-2

    Google Scholar 

  19. Sterle, C., Sforza, A., Esposito, A.A., Piccolo, C.: A unified solving approach for two and three dimensional coverage problems in sensor networks. Opt. Lett. 10, 1–23 (2016)

    Article  MathSciNet  MATH  Google Scholar 

  20. Sun, J., Lo, B.P.L., Velastin, S.A.: Fusing visual and audio information in a distributed intelligent surveillance system for public transport systems. Acta Autom. Sin. 20(3), 393–407 (2003)

    Google Scholar 

  21. Valera, M., Velastin, S.A.: Intelligent distributed surveillance systems: a review. IEEE Proc. Vis. Image Sig. Process. 152(2), 192–204 (2005)

    Article  Google Scholar 

  22. Xiao, Y., Farooq, A.R., Smith, M., Wright, D., Wright, G.: Robust left object detection and verification in video surveillance. In: IAPR International Conference on Machine Vision Applications, MVA 2013, Kyoto (2013)

    Google Scholar 

  23. Wang, B.: Coverage problems in sensor networks: a survey. ACM Comput. Surv. 43(4), 32–43 (2011)

    Article  Google Scholar 

  24. Wang, X.: Intelligent multi-camera video surveillance: a review. Pattern Recogn. Lett. 34(1), 3–19 (2013)

    Article  Google Scholar 

  25. Zhang, R., Ding, J.: Object tracking and detecting based on adaptive background subtraction. Procedia Eng. 29, 1351–1355 (2012)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Complex Systems and Security Laboratory, University Campus Bio-Medico of Rome, Rome, Italy

    Francesca De Cillis & Roberto Setola

  2. Security Department - Technical Area, Rete Ferroviaria Italiana, Rome, Italy

    Stefano De Muro

  3. Security Department - Directorate, Ferrovie dello Stato Italiane, Rome, Italy

    Franco Fiumara

  4. Department of Electrical Engineering and Information Technology, University Federico II of Naples, Naples, Italy

    Antonio Sforza & Claudio Sterle

Authors
  1. Francesca De Cillis
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  2. Stefano De Muro
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  3. Franco Fiumara
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  4. Roberto Setola
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  5. Antonio Sforza
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  6. Claudio Sterle
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Corresponding author

Correspondence to Claudio Sterle .

Editor information

Editors and Affiliations

  1. International Union of Railways, Paris, France

    Grigore Havarneanu

  2. University Campus Bio-Medico, Rome, Italy

    Roberto Setola

  3. Ecole des Ingénieurs de la Ville de Paris (EIVP), Paris, France

    Hypatia Nassopoulos

  4. Royal Holloway, University of London, London, United Kingdom

    Stephen Wolthusen

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De Cillis, F., De Muro, S., Fiumara, F., Setola, R., Sforza, A., Sterle, C. (2017). Railway Station Surveillance System Design: A Real Application of an Optimal Coverage Approach. In: Havarneanu, G., Setola, R., Nassopoulos, H., Wolthusen, S. (eds) Critical Information Infrastructures Security. CRITIS 2016. Lecture Notes in Computer Science(), vol 10242. Springer, Cham. https://doi.org/10.1007/978-3-319-71368-7_6

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  • DOI: https://doi.org/10.1007/978-3-319-71368-7_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71367-0

  • Online ISBN: 978-3-319-71368-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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