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.


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    Title :

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


    Additional title:

    CogScienceTechnology


    Contributors:
    Kumar, Amit (editor) / Mozar, Stefan (editor) / Haase, Jan (editor) / Rakesh, S. (author) / Hegde, Nagaratna P. (author)

    Conference:

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



    Publication date :

    2023-03-10


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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