For the lack of current extraction methods of traffic basic data, a traffic information acquisition method based on improved Kalman filtering using traffic video was presented in this paper. The Gaussian mixture model was improved for multi-vehicle moving targets detection. In order to further improve the detection efficiency, a heuristic improvement method was proposed. For the matching problem of multiple targets in the continuous video frame, combining the vehicle movement characteristic, the Kalman filter was used to estimate the vehicle position optimally, a real-time traffic detection method of matching the target chain was proposed. Finally, the experiment was carried out with the actual transportation video, results show that the proposed method can effectively improve the noise interference and foreground blurring in Multi-target vehicle detection, and can extract the vehicle moving target information from different traffic environments with high accuracy, different models and vehicle color The lowest detection rate was 93.08%.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Real-Time Traffic Detection Method Based on Improved Kalman Filter


    Contributors:
    Xun, Li (author) / Kaikai, Nan (author) / Yao, Liu (author) / Tao, Zuo (author)


    Publication date :

    2018-11-01


    Size :

    221619 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Traffic Volume Prediction Using Improved Kalman Filter

    Chen, Xin Jie ;Ma, Ji Hui ;Guan, Wei | Trans Tech Publications | 2014



    A Real Time System for Traffic Monitoring By Using Kalman Filter

    Abu Bakar, E. / Abdullah, A. | BASE | 2017

    Free access

    Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation

    van Hinsbergen, C. P. I. J. / Schreiter, T. / Zuurbier, F. S. et al. | IEEE | 2012


    Travel Time Prediction Method Based on Improved Kalman Filter

    Zhang, Jinjin / Wu, Yu / Liu, Xiaoming | ASCE | 2015