Advanced surface movement guidance and control systems need the identification of aircraft and vehicles in airport movement areas. In this work, a video identification algorithm based on tail number recognition is proposed as a part of a global surveillance video system. The aircraft identification problem has to deal with three fundamental aspects: capturing and preprocessing the images, international regulations defining tail number grammar, and pattern recognition methodology. Considering these aspects, the developed system is based on three ideas: using the local grey level contrast to detect characters of the tail number; finding the zone where the fail number is written to isolate it from the rest of the image; and processing this zone to identify the aircraft, using an aircraft database.


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    Titel :

    Automatic video system for aircraft identification


    Beteiligte:
    Molina, J.M. (Autor:in) / Garcia, J. (Autor:in) / Berlanga, A. (Autor:in) / Besada, J. (Autor:in) / Portillo, J. (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    603759 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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