India is one of the world’s most densely populated country, with more vehicles being used in urban areas. The ability to follow or track individual vehicles as well as public transport frameworks is useful. We can address complex challenges with effective results using computer vision and machine learning. The major purpose of our project is to deal with the concept of real-time-vehicle tracking is based on video stream by a surveillance camera to track vehicles. We would focus on the type of vehicle i.e., car or bike, Firstly, the software would slice the frames from the streaming video so that would be easier to detect the attributes precisely. Secondly, slice the area of the required part, for instance if we take the frame, the car in it would be cropped for focusing on the required output as correctly as possible. Lastly, the software would store the required data in the database for future usage.


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    Titel :

    Traffic Congestion Management based on Vehicle Density Using Image Processing Techniques


    Beteiligte:
    Sadrisjain B, V (Autor:in) / Anushree T, B (Autor:in) / Manohar, N (Autor:in)


    Erscheinungsdatum :

    2022-11-25


    Format / Umfang :

    567386 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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