Surveillance systems have been used in daily life for security purposes. There is a wide range of applications such as visual tracking, crowd area tracking, queue detection, and face recognition that are used to integrate within the airport. In recent years, tracking passenger in airports have become more and more automated. Face detection and recognition in visual tracking framework is a significant pipeline for digital aviation. Despite the importance of that, there remains a lack of the presence of occlusion regarding previous research. The challenges have been increased due to Covid-19 restrictions and the necessity of mask-wearing. In this paper, we have developed a facial recognition system for the DARTeC environment, which is one of the subclasses of our seamless passenger experience at the airport research.


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    Titel :

    Seamless Passenger Experience for the Airport Environment: Research at DARTeC


    Weitere Titelangaben:

    Sustainable aviat.


    Beteiligte:
    Karakoc, T. Hikmet (Herausgeber:in) / Atipan, Siripong (Herausgeber:in) / Dalkiran, Alper (Herausgeber:in) / Ercan, Ali Haydar (Herausgeber:in) / Kongsamutr, Navatasn (Herausgeber:in) / Sripawadkul, Vis (Herausgeber:in) / Amil, Fatma Gul (Autor:in) / Rana, Zeeshan (Autor:in) / Zhao, Yifan (Autor:in)

    Kongress:

    International Symposium On Sustainable Aviation ; 2021 November 25, 2021 - November 27, 2021



    Erscheinungsdatum :

    2023-09-30


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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