The detection of vehicles and pedestrians on the road is one of the most challenging problems in object detection and autonomous vehicles. This paper reports a novel intelligent traffic monitoring and management system using You Only Look Once (YOLO) and OpenCV tracker. A new database named 'Kannur University Vehicle Database (KNUVDB)’ is created and used for the purpose of studying vehicle detection., in addition to the available datasets in literature. We focus on counting the vehicles after they have been detected and tracked. Later., performs the traffic update by using the vehicle count. The proposed method provides better detection accuracy on the real-time traffic video dataset available in the literatures and also on the KNUVDB dataset. Experimental studies have shown that Discriminative Correlation Filter with Channel and Spatial Reliability (CSRT) and Kernelized Correlation Filter (KCF) provide better performance than other OpenCV trackers. In KNUVDB dataset., YOLO-CSRT gives 100% accuracy and YOLO-KCF provides 90.90% accuracy in vehicle detection., tracking and counting. In real-time road traffic video dataset., YOLO-CSRT provides 100% accuracy and YOLO-KCF provides 93.70% accuracy in vehicle detection., tracking., and counting accuracy.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    End-to-End Traffic Monitoring and Management in Real-Time Road Traffic


    Contributors:


    Publication date :

    2022-12-21


    Size :

    376388 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-time road traffic monitoring method

    YUAN HAI / CHAI YAN / ZHANG CONG | European Patent Office | 2015

    Free access

    Road traffic video monitoring management system

    QU JIANDONG | European Patent Office | 2023

    Free access

    Real-time traffic monitoring

    Ferrier, N.J. / Rowe, S.M. / Blake, A. | IEEE | 1994



    Road traffic management device and road traffic management method

    SUZUKI YOSHIHIKO / SATO TOSHIO / TAKAHASHI YUSUKE et al. | European Patent Office | 2018

    Free access