High-Accuracy and Low-Latency Tracker for UAVs Monitoring Tibetan Antelopes
文献类型：期刊论文
| 作者 | Luo, Wei1,2,3,4; Li, Xiaofang5; Zhang, Guoqing1; Shao, Quanqin2,6; Zhao, Yongxiang1; Li, Denghua7; Zhao, Yunfeng1,2,3; Li, Xuqing1,2,3; Zhao, Zihui1,2,3; Liu, Yuyan1,2,3 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023 |
| 卷号 | 15期号:2页码:19 |
| 关键词 | Tibetan antelope protection intelligent UAV SOT YOLOX optical flow latency frame-rate optimization |
| DOI | 10.3390/rs15020417 |
| 通讯作者 | Li, Denghua(lidenghua@caas.cn) |
| 英文摘要 | As the habitat areas of Tibetan antelopes usually exhibit poaching and unpredictable risks, combining target recognition and tracking with intelligent Unmanned Aerial Vehicle (UAV) technology is necessary to obtain the real-time location of injured Tibetan antelopes to better protect and rescue them. (1) Background: The most common way to track an object is to detect each frame of it, and it is not necessary to run the object tracker and classifier at the same rate, because the speed for them to change class is slower than objects move. Especially in the edge reasoning scene, UAV real-time monitoring requires to seek a balance between the frame rate, latency, and accuracy. (2) Methods: A backtracking tracker is proposed to recognize Tibetan antelopes which generates motion vectors through stored optical flow, achieving faster target detection. The lightweight You Only Look Once X (YOLOX) is selected as the baseline model to reduce the dependence on hardware configuration and calculation cost while ensuring detection accuracy. Region-of-Interest (ROI)-to-centroid tracking technology is employed to reduce the processing cost of motion interpolation, and the overall processing frame rate is smoothed by pre-calculating the motions of different objects recognized. The On-Line Object Tracking (OLOT) system with adaptive search area selection is adopted to dynamically adjust the frame rate to reduce energy waste. (3) Results: using YOLOX to trace back in the native Darkenet can reduce latency by 3.75 times, and the latency is only 2.82 ms after about 10 frame hops, with the accuracy being higher than YOLOv3. Compared with traditional algorithms, the proposed algorithm can reduce the tracking latency of UAVs by 50%. By running and comparing in the onboard computer, although the proposed tracker is inferior to KCF in FPS, it is significantly higher than other trackers and is obviously superior to KCF in accuracy. (4) Conclusion: A UAV equipped with the proposed tracker effectively reduces reasoning latency in monitoring Tibetan antelopes, achieving high recognition accuracy. Therefore, it is expected to help better protection of Tibetan antelopes. |
| WOS关键词 | OPTICAL-FLOW |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:000916295700001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/189302]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Denghua |
| 作者单位 | 1.North China Inst Aerosp Engn, Langfang 065000, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Aerosp Remote Sensing Informat Proc & Applicat Col, Langfang 065000, Peoples R China 4.Natl Joint Engn Res Ctr Space Remote Sensing Infor, Langfang 065000, Peoples R China 5.Langfang Normal Univ, Sch Architecture & Civil Engn, Langfang 065000, Peoples R China 6.Univ Chinese Acad Sci, Beijing 101407, Peoples R China 7.Chinese Acad Agr Sci, Minist Agr & Rural Affairs, Key Lab Agr Monitoring & Early Warning Technol, Agr Informat Inst, Beijing 100081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Wei,Li, Xiaofang,Zhang, Guoqing,et al. High-Accuracy and Low-Latency Tracker for UAVs Monitoring Tibetan Antelopes[J]. REMOTE SENSING,2023,15(2):19. |
| APA | Luo, Wei.,Li, Xiaofang.,Zhang, Guoqing.,Shao, Quanqin.,Zhao, Yongxiang.,...&Li, Xiaoliang.(2023).High-Accuracy and Low-Latency Tracker for UAVs Monitoring Tibetan Antelopes.REMOTE SENSING,15(2),19. |
| MLA | Luo, Wei,et al."High-Accuracy and Low-Latency Tracker for UAVs Monitoring Tibetan Antelopes".REMOTE SENSING 15.2(2023):19. |
入库方式： OAI收割
来源：地理科学与资源研究所
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