An efficient visual servo tracker for herd monitoring by UAV
文献类型：期刊论文
| 作者 | Luo, Wei2,3,4,5; Zhang, Guoqing5; Shao, Quanqin1,4; Zhao, Yongxiang5; Wang, Dongliang4; Zhang, Xiongyi4; Liu, Ke5; Li, Xiaoliang5; Liu, Jiandong5; Wang, Penggang5 |
| 刊名 | SCIENTIFIC REPORTS
 |
| 出版日期 | 2024-05-07 |
| 卷号 | 14期号:1页码:10463 |
| DOI | 10.1038/s41598-024-60445-4 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | It is a challenging and meaningful task to carry out UAV-based livestock monitoring in high-altitude (more than 4500 m on average) and cold regions (annual average - 4 degrees C) on the Qinghai Tibet Plateau. The purpose of artificial intelligence (AI) is to execute automated tasks and to solve practical problems in actual applications by combining the software technology with the hardware carrier to create integrated advanced devices. Only in this way, the maximum value of AI could be realized. In this paper, a real-time tracking system with dynamic target tracking ability is proposed. It is developed based on the tracking-by-detection architecture using YOLOv7 and Deep SORT algorithms for target detection and tracking, respectively. In response to the problems encountered in the tracking process of complex and dense scenes, our work (1) Uses optical flow to compensate the Kalman filter, to solve the problem of mismatch between the target bounding box predicted by the Kalman filter (KF) and the input when the target detection in the current frame is complex, thereby improving the prediction accuracy; (2) Using a low confidence trajectory filtering method to reduce false positive trajectories generated by Deep SORT, thereby mitigating the impact of unreliable detection on target tracking. (3) A visual servo controller has been designed for the Unmanned Aerial Vehicle (UAV) to reduce the impact of rapid movement on tracking and ensure that the target is always within the field of view of the UAV camera, thereby achieving automatic tracking tasks. Finally, the system was tested using Tibetan yaks on the Qinghai Tibet Plateau as tracking targets, and the results showed that the system has real-time multi tracking ability and ideal visual servo effect in complex and dense scenes. |
| WOS关键词 | HELICOPTER |
| WOS研究方向 | Science & Technology - Other Topics |
| WOS记录号 | WOS:001215817800012 |
| 出版者 | NATURE PORTFOLIO |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/205370]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Wang, Dongliang |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 101407, Peoples R China 2.Natl Joint Engn Res Ctr Space Remote Sensing Info, Langfang 065000, Peoples R China 3.Aerosp Remote Sensing Informat Proc & Applicat Co, Langfang 065000, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 5.North China Inst Aerosp Engn, Langfang 065000, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Wei,Zhang, Guoqing,Shao, Quanqin,et al. An efficient visual servo tracker for herd monitoring by UAV[J]. SCIENTIFIC REPORTS,2024,14(1):10463. |
| APA | Luo, Wei.,Zhang, Guoqing.,Shao, Quanqin.,Zhao, Yongxiang.,Wang, Dongliang.,...&Yu, Zhongde.(2024).An efficient visual servo tracker for herd monitoring by UAV.SCIENTIFIC REPORTS,14(1),10463. |
| MLA | Luo, Wei,et al."An efficient visual servo tracker for herd monitoring by UAV".SCIENTIFIC REPORTS 14.1(2024):10463. |
入库方式： OAI收割
来源：地理科学与资源研究所
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