This paper introduces a real-time method to extract vehicles in road environment, and mainly includes four parts as follows: firstly, using Double Level background learning method to obtain a stable background image and get a rough vehicle area. Secondly, using HSV color space and texture characteristics of SILTP mixed constraint method to suppress the influence of shadow. Thirdly, using Energy Density Analysis to enhance the area-of-interest, and finally, showing some experimental results.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A HSV-SILTP Based Shadow Suppression Approach for Moving Vehicle Extraction


    Contributors:
    Zhang, Yang (author) / Xu, Huazhong (author) / Luo, Man (author)


    Publication date :

    2013-07-01


    Size :

    602972 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Moving cast shadow suppression for vehicle detection

    Xu, Haixiang / Zhu, Guangxi / Peng, Fuyuan et al. | SPIE | 2005


    A New Online Approach for Moving Cast Shadow Suppression in Traffic Videos

    Ghahremannezhad, Hadi / Shi, Hang / Liu, Chengjun | IEEE | 2021


    Improving shadow suppression in moving object detection with HSV color information

    Cucchiara, R. / Grana, C. / Piccardi, M. et al. | IEEE | 2001


    Improving Shadow Suppression in Moving Object Detection with HSV Color Information

    Cucchiara, R. / Grana, C. / Piccardi, M. et al. | British Library Conference Proceedings | 2001


    New Method of Shadow Elimination for Moving Vehicle

    Jiwei, Y. / Zhongke, S. | British Library Online Contents | 2005