High Power Laser and Particle Beams, Volume. 35, Issue 7, 079001(2023)
Low-altitude UAV detection and tracking algorithms in complex backgrounds
[1] [1] Klare J, Biallawons O, CeruttiMai D. UAV detection with MIMO radar[C]Proceedings of the 18th International Radar Symposium (IRS). 2017: 18.
[2] [2] Xiao Yue, Zhang Xuejun. MicroUAV detection identification based on radio frequency signature[C]Proceedings of the 6th International Conference on Systems Infmatics (ICSAI). 2019: 10561062.
[3] [3] Kim J, Park C, Ahn J, et al. Realtime UAV sound detection analysis system[C]Proceedings of 2017 IEEE Senss Applications Symposium (SAS). 2017: 15.
[4] [4] Jocher G. v5.0 YOLOv5P6 1280 models, AWS, Supervise. ly YouTube integrations[CPOL]. [20210312]. https:gitcode.mirrsultralyticsyolov5releasesv5.0.
[5] [5] Lukeic A, Vojír T, Zajc L C, et al. Discriminative crelation filter with channel spatial reliability[C]Proceedings of 2017 IEEE Conference on Computer Vision Pattern Recognition. 2017: 63096318.
[6] [6] Hu Jie, Shen Li, Sun Gang. Squeezeexcitation wks[C]Proceedings of 2018 IEEECVF Conference on Computer Vision Pattern Recognition. 2018: 71327141.
[7] [7] Han Kai, Wang Yunhe, Tian Qi, et al. Ghost: me features from cheap operations[C]Proceedings of 2020 IEEECVF Conference on Computer Vision Pattern Recognition. 2020: 15801589.
[9] [9] Dalal N, Triggs B. Histograms of iented gradients f human detection[C]Proceedings of 2005 IEEE Computer Society Conference on Computer Vision Pattern Recognition. 2005: 886893.
[10] [10] Lowe D G. Object recognition from local scaleinvariant features[C]Proceedings of the Seventh IEEE International Conference on Computer Vision. 1999: 11501157.
[11] [11] Viola P, Jones M. Rapid object detection using a boosted cade of simple features[C]Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision Pattern Recognition. 2001.
[12] [12] Redmon J, Divvala S, Girshick R, et al. You only look once: unified, realtime object detection[C]Proceedings of 2016 IEEE Conference on Computer Vision Pattern Recognition. 2016: 779788.
[13] [13] Liu Wei, Anguelov D, Erhan D, et al. SSD: single shot MultiBox detect[C]Proceedings of the 14th European Conference on Computer Vision. 2016: 2137.
[14] [14] Santad T, Silapasupphaknwong P, Choensawat W, et al. Application of YOLO deep learning model f real time aboned baggage detection[C]Proceedings of 2018 IEEE 7th Global Conference on Consumer Electronics. 2018: 157158.
[17] [17] Wang Naiyan, Wang Jingdong, Yeung D Y. Online robust nonnegative dictionary learning f visual tracking[C]Proceedings of 2013 IEEE International Conference on Computer Vision. 2013: 657664.
[18] [18] Held D, Thrun S, Savarese S. Learning to track at 100 FPS with deep regression wks[C]Proceedings of the 14th European Conference on Computer Vision. 2016: 749765.
[21] [21] Tao Ran, Gavves E, Smeulders A W M. Siamese instance search f tracking[C]Proceedings of 2016 IEEE Conference on Computer Vision Pattern Recognition. 2016: 14201429.
[22] [22] Song Yibing, Ma Chao, Wu Xiaohe, et al. VITAL: visual tracking via adversarial learning[C]Proceedings of 2018 IEEECVF Conference on Computer Vision Pattern Recognition. 2018: 89908999.
[23] [23] MacQueen J B. Some methods f classification analysis of multivariate observations[C]Proceedings of the 5th Berkeley Symposium on Mathematical Statistics Probability. 1967: 281297.
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Jianwei Wang, Jiang You, Min Wan, Jingliang Gu. Low-altitude UAV detection and tracking algorithms in complex backgrounds[J]. High Power Laser and Particle Beams, 2023, 35(7): 079001
Category: Advanced Interdisciplinary Science
Received: Feb. 15, 2023
Accepted: Apr. 4, 2023
Published Online: Jul. 24, 2023
The Author Email: Wan Min (wanmin@caep.cn), Gu Jingliang (20332079@qq.com)