Traffic parameters are the basis of traffic flow research. Video-based traffic parameter extraction, which can provide large amounts of information at a relatively lower cost, has attracted great interest in recent years. In this paper, we propose an improved vehicle tracking algorithm to automatically extract traffic parameters over a long-distance urban freeway section from a monocular traffic image sequence. The algorithm can overcome the limitation of occlusions and omissions. It includes background estimation, target segment, vehicle tracking and parameter collection. Test results show the robustness and effectiveness of the algorithm: over 95% of the vehicles can be extracted from the video accurately.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Video-Based Traffic Parameter Extraction with an Improved Vehicle Tracking Algorithm


    Contributors:
    Wang, Song-Hao (author) / Li, Zhi-Heng (author) / Zhang, Zuo (author) / Tan, Ji-Yuan (author)

    Conference:

    The Twelfth COTA International Conference of Transportation Professionals ; 2012 ; Beijing, China


    Published in:

    CICTP 2012 ; 856-866


    Publication date :

    2012-07-23




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Traffic Parameter Extraction using Video-based Vehicle Tracking

    Jung, Y. K. / Ho, Y. S. / IEEE et al. | British Library Conference Proceedings | 1999


    Vehicle Tracking Algorithm of Speed Estimation Based on Traffic Video Analysis

    Yashina, M. V. / Akilin, Ya. A. / Osada, V. V. et al. | IEEE | 2024



    Traffic characteristic parameter extraction method based on vehicle Bluetooth

    WU ZHIZHOU / LYU HAN / TAN GUISHAN et al. | European Patent Office | 2016

    Free access