• DocumentCode
    3586673
  • Title

    Bimodal system for surveillance of super-extended objects

  • Author

    Timofeev, Andrey V. ; Egorov, Dmitry V.

  • Author_Institution
    Dept. of R&D, LPP “EqualiZoom”, Astana, Kazakhstan
  • fYear
    2014
  • Firstpage
    57
  • Lastpage
    62
  • Abstract
    This paper describes an effective solution to the task of a remote monitoring of super-extended objects (oil and gas pipeline, railways, national frontier). The suggested solution is based on the principle of simultaneously monitoring of seismoacoustic and optical/infrared physical fields. The principle of simultaneous monitoring of those fields is not new but in contrast to the known solutions the suggested approach allows to control super-extended objects with very limited operational costs. So-called C-OTDR (Coherent Optical Time Domain Reflectometer) systems are used to monitor the seismoacoustic field. Far-CCTV systems are used to monitor the optical/infrared field. A simultaneous data processing provided by both systems allows effectively detecting and classifying target activities, which appear in the monitored objects vicinity. The results of practical usage had shown high effectiveness of the suggested approach.
  • Keywords
    closed circuit television; object detection; optical time-domain reflectometry; reflectometers; surveillance; CCTV systems; bimodal system; coherent optical time domain reflectometer system; optical-infrared physical fields; seismoacoustic fields; super-extended objects surveillance; target classification; target detection; Monitoring; Optical fiber cables; Optical fiber sensors; Optical fibers; Optical reflection; Rail transportation; Support vector machines; C-OTDR system; Lipschitz classifiers; SVM; bi-modal approach; monitoring; surviellance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computers and Artificial Intelligence (ECAI), 2014 6th International Conference on
  • Print_ISBN
    978-1-4799-5478-0
  • Type

    conf

  • DOI
    10.1109/ECAI.2014.7090211
  • Filename
    7090211