A real-time vision-based object tracking system embedded in a quadrotor is presented in this paper. The integrated system is expected to enable the quadrotor to track a target object and keep with a fixed distance. A robust object tracking method via improving Kernelized Correlation Filters algorithm is proposed to achieve accurate visual tracking. In addition, a PID controller is applied to utilize the data from a RGB-D Camera. And the effectiveness of our proposed method is verified by experimental results.


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    Titel :

    KCF based 3D object tracking via RGB-D camera of a quadrotor


    Beteiligte:
    Ma, Yue (Autor:in) / Pei, Peng (Autor:in) / Xiang, Changle (Autor:in) / Yao, Shouwen (Autor:in) / Gao, Yang (Autor:in)


    Erscheinungsdatum :

    2017-06-01


    Format / Umfang :

    484479 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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