We propose a vehicle tracking algorithm that takes a new occlusion reasoning approach. We consider two different types of occlusions: explicit occlusion and implicit occlusion. We also propose a traffic flow extraction method with the velocity and trajectory of the moving vehicles. The proposed vehicle tracking system is composed of three parts: vehicle segmentation, vehicle tracking, and traffic parameter extraction. The vehicle segmentation part separates moving vehicles from their background. We employ the adaptive background approach, which does not update the background of moving objects. We also design a 2D token-based algorithm for vehicle tracking using Kalman filtering that has a modest amount of computational complexity. The traffic parameter extraction part estimates the traffic parameters, such as the vehicle count and the average speed. It also extracts the traffic flows. Finally, we have evaluated the proposed algorithm with some MPEG-7 test sequences.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Traffic parameter extraction using video-based vehicle tracking


    Contributors:
    Young-Kee Jung (author) / Yo-Sung Ho (author)


    Publication date :

    1999-01-01


    Size :

    662800 byte




    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


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

    Wang, Song-Hao / Li, Zhi-Heng / Zhang, Zuo et al. | ASCE | 2012


    Neural-edge-based vehicle detection and traffic parameter extraction

    Ha, D. M. / Lee, J. M. / Kim, Y. D. | British Library Online Contents | 2004


    Traffic characteristic parameter extraction method based on vehicle Bluetooth

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

    Free access

    EXPERIMENTAL EVALUATION OF RADAR-BASED VEHICLE TRACKING & TRAFFIC PARAMETER ESTIMATION

    Davoli, F. / ITS Congress Association | British Library Conference Proceedings | 2000