With the development of modern social economy, the number of vehicles in China is growing rapidly, so how to get real-time traffic parameters has a very important significance in using the limited road space, vehicle video detection method based on image processing develop rapidly. With the improvement of image processing technology and microprocessor performance, makes video-based traffic parameter detection using universal. This paper deals with the real-time traffic video, gets each frame, uses Gaussian filter denoising, marks the region of interest (ROI), apply background subtraction algorithm based on average method, get the binarization foreground image, set threshold to eliminate the moving objects whose area is too small, check the boundary of ROI to judge the moving vehicle and counting, get the results as parameters of the intelligent transportation.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Vehicle Detection and Counting in Traffic Video Based on OpenCV



    Erschienen in:

    Applied Mechanics and Materials ; 361-363 ; 2232-2235


    Erscheinungsdatum :

    08.08.2013


    Format / Umfang :

    4 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Image and Video Processing-Based Traffic Analysis Using OpenCV

    Pooja Sri, Devineni / Kiran Kumar, K. | Springer Verlag | 2022


    OpenCV Based Real-Time Traffic Analyzer

    Pandi, C / Ponnuviji, N.P / Srinivasan, R. et al. | IEEE | 2024


    Vehicle Class Detection and Counting on a Malaysian Road Using YOLOv8 and OpenCV

    Hassan, Mahbub / Mahin, Hridoy Deb / Jusoh, Muzammil et al. | IEEE | 2024


    Density-Based Adaptive Traffic Control System with OpenCV

    Kaushal, Vikash Chandra / Arora, Deepak / Sharma, Puneet | Springer Verlag | 2021


    Nighttime lane detection and vehicle position determination based on OpenCV

    Chen, Leilei / Liu, Yingshun / Zhang, Weiye | SPIE | 2024