@inproceedings{23d693b2173a49c9a194fd70e719950b,
title = "KCF based 3D object tracking via RGB-D camera of a quadrotor",
abstract = "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.",
author = "Yue Ma and Peng Pei and Changle Xiang and Shouwen Yao and Yang Gao",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017 ; Conference date: 13-06-2017 Through 16-06-2017",
year = "2017",
month = jul,
day = "25",
doi = "10.1109/ICUAS.2017.7991411",
language = "English",
series = "2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "939--944",
booktitle = "2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017",
address = "United States",
}