Moving object detection (MOD) is one of the more prominent fields of research now a day because the application areas of it increasing rapidly. Several applications of MOD are recognizing and tracing vehicles or animals or human beings, finding the speed of objects or vehicles etc. Traffic controlling is one of the prodigious issues facing by most of the great cities in the world especially in India all metropolitan cities suffering with this issue. Therefore, there is a huge demand to introduce an intelligent traffic controlling system which works by finding the live traffic and changing the traffic lights by its own intelligence. In this paper, proposing a paradigm to find the live traffic density using MOD algorithm which interns uses prominent background subtraction practice by giving a traffic video as input to the proposed model so that this can work efficiently with live traffic video.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Calculating the Traffic Density of Real-Time Video Using Moving Object Detection


    Weitere Titelangaben:

    CogScienceTechnology


    Beteiligte:
    Kumar, Amit (Herausgeber:in) / Mozar, Stefan (Herausgeber:in) / Haase, Jan (Herausgeber:in) / Rakesh, S. (Autor:in) / Hegde, Nagaratna P. (Autor:in)

    Kongress:

    International Conference on Communications and Cyber Physical Engineering 2018 ; 2023 ; Hyderabad, India April 28, 2023 - April 29, 2023



    Erscheinungsdatum :

    10.03.2023


    Format / Umfang :

    9 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Real-Time Moving Object Detection Under Complex Background

    Ren, J. / Astheimer, P. / Feng, D. D. et al. | British Library Conference Proceedings | 2003


    Real-time moving object detection under complex background

    Jinchang Ren, / Astheimer, P. / Feng, D.D. | IEEE | 2003


    Improved Illumination Independent Moving Object Detection in Real World Video Sequences

    Zeljkovic, V. / Trpovski, Z. / Senk, V. et al. | British Library Conference Proceedings | 2003



    A Robust Framework for Moving-Object Detection and Vehicular Traffic Density Estimation

    Janney, Pranam / Geers, Glenn | ArXiv | 2014

    Freier Zugriff