We proposed an improved Camshift algorithm for target tracking of police UAVs. To improve the traditional Camshift algorithm is vulnerable similar backgrounds, we propose an improved algorithm which combining LBP texture features with H and S extracted in HSV; By combining Kalman with Camshift, a prediction mechanism is introduced to improve the problem of easily influenced by object sheltering.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Research and Application of Police UAVs Target Tracking Based on Improved Camshift Algorithm


    Contributors:


    Publication date :

    2019-10-01


    Size :

    2227352 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    An Improved Camshift Target Tracking Algorithm Based on Joint Color-Texture Histogram

    Chu, Hongxia / Xie, Zhongyu / Wang, Kejun | British Library Online Contents | 2018


    Airport surface target tracking method based on improved ViBe algorithm and Camshift

    Xue, Kang / Yang, Hongfeng / Wang, Kai et al. | IEEE | 2023


    Road Motion Vehicle Tracking Algorithm Based on Improved Camshift

    Niu, Bingqing / Wu, Hongtao / Meng, Ying et al. | IEEE | 2023


    Automatic multi-vehicle tracking using video cameras: An improved CAMShift approach

    Xia, Jingxin / Rao, Wenming / Huang, Wei et al. | Springer Verlag | 2013


    Face Detection and Tracking Based on Adaboost CamShift and Kalman Filter Algorithm

    Chen, K. / Liu, C. / Xu, Y. | British Library Conference Proceedings | 2014