摘要
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.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 939-944 |
| 页数 | 6 |
| ISBN（电子版） | 9781509044948 |
| DOI | |
| 出版状态 | 已出版 - 25 7月 2017 |
| 活动 | 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017 - Miami, 美国 期限: 13 6月 2017 → 16 6月 2017 |
出版系列
| 姓名 | 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017 |
|---|
会议
| 会议 | 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017 |
|---|---|
| 国家/地区 | 美国 |
| 市 | Miami |
| 时期 | 13/06/17 → 16/06/17 |
指纹
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Ma, Y., Pei, P., Xiang, C., Yao, S., & Gao, Y. (2017). KCF based 3D object tracking via RGB-D camera of a quadrotor. 在 2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017 (页码 939-944). 文章 7991411 (2017 International Conference on Unmanned Aircraft Systems, ICUAS 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICUAS.2017.7991411