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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    Title :

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


    Contributors:
    Ma, Yue (author) / Pei, Peng (author) / Xiang, Changle (author) / Yao, Shouwen (author) / Gao, Yang (author)


    Publication date :

    2017-06-01


    Size :

    484479 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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