This paper presents a real-time highway monitoring system for tracking and classification of vehicles with the computation of traffic flow parameters from live video streams. The proposed system robustly detects and tracks vehicles during daylight hours and accurately classifies them into 8 different types by leveraging tracking information. The system is able to process video continuously over long time periods, accumulating large volumes of tracking data to build daily highway models consisting of the traffic flow parameters, density, flow, and speed. These daily models are used to categorize the speed profile of live traffic.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Real-Time Video Based Highway Traffic Measurement and Performance Monitoring


    Contributors:


    Publication date :

    2007-09-01


    Size :

    664518 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Real-time highway traffic information extraction based on airborne video

    Li, Qingquan / Yu, Yang / Hou, Rui et al. | IEEE | 2009


    Towards Large-Scale Video-Based Highway Traffic Monitoring

    Spoecklberger, Johannes / Micorek, Jakub / Possegger, Horst et al. | IEEE | 2023


    Highway real-time traffic monitoring method based on mobile phone signaling

    WANG GUANGSHAN | European Patent Office | 2015

    Free access

    Measurement of highway traffic performance

    Greenshields, B.D. | Engineering Index Backfile | 1969


    Highway traffic monitoring method based on geomagnetic video data fusion

    YAN JUN / FENG SHU / WANG WEI | European Patent Office | 2024

    Free access