DiagonalNet: Confidence diagonal lines for the UAV detection
文献类型:期刊论文
作者 | Hu, Qintao1,2,3; Duan, Qianwen1,2,3; Mao, Yao1,2,3; Zhou, Xi1,2,3; Zhou, Guozhong1,2,3 |
刊名 | IEEJ Transactions on Electrical and Electronic Engineering
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出版日期 | 2019-09-01 |
卷号 | 14期号:9页码:1364-1371 |
关键词 | object detection deep learning UAV hourglass SENet |
ISSN号 | 1931-4973 |
DOI | 10.1002/tee.22938 |
文献子类 | 期刊论文 |
英文摘要 | Due to the maneuverability and small size of the Unmanned aerial vehicles (UAVs), the traditional object detection method cannot meet the requirements of detection accuracy and real-time performance. To address this dilemma, we propose an object detection method by using the improved hourglass network as its backbone network generating the confidence diagonal lines as detection result, and then getting the bounding box through this diagonal line. As a one-stage method, it has a good real-time performance. At the same time, due to the good performance of our improved network, its mean average precision performs well. Through experiments with the UAV dataset, compared with faster-regions-with-convolutional-neural-network and You only look once (YOLO), we show that the proposed framework can quickly and accurately detect objects. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. © 2019 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc. |
WOS关键词 | OBJECT DETECTION ; NETWORKS |
WOS研究方向 | Engineering, Electrical & Electronic |
语种 | 英语 |
WOS记录号 | WOS:000480274700011 |
出版者 | John Wiley and Sons Inc. |
源URL | [http://ir.ioe.ac.cn/handle/181551/9714] ![]() |
专题 | 光电技术研究所_光电工程总体研究室(一室) |
作者单位 | 1.Key Laboratory of Optical Engineering, Chinese Academy of Science, Chengdu; 610209, China; 2.Institute of Optics and Electronics, Chinese Academy of Science, Chengdu; 610209, China; 3.University of Chinese Academy of Science, Beijing; 100039, China |
推荐引用方式 GB/T 7714 | Hu, Qintao,Duan, Qianwen,Mao, Yao,et al. DiagonalNet: Confidence diagonal lines for the UAV detection[J]. IEEJ Transactions on Electrical and Electronic Engineering,2019,14(9):1364-1371. |
APA | Hu, Qintao,Duan, Qianwen,Mao, Yao,Zhou, Xi,&Zhou, Guozhong.(2019).DiagonalNet: Confidence diagonal lines for the UAV detection.IEEJ Transactions on Electrical and Electronic Engineering,14(9),1364-1371. |
MLA | Hu, Qintao,et al."DiagonalNet: Confidence diagonal lines for the UAV detection".IEEJ Transactions on Electrical and Electronic Engineering 14.9(2019):1364-1371. |
入库方式: OAI收割
来源:光电技术研究所
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