Opto-Electronic Engineering, Volume. 46, Issue 9, 180261(2019)
Application of aircraft target tracking based on deep learning
[1] [1] Sivanantham S, Paul N N, Iyer R S. Object tracking algorithm implementation for security applications[J]. Far East Journal of Electronics and Communications, 2016, 16(1): 1–13.
[2] [2] Kwak S, Cho M, Laptev I, et al. Unsupervised object discovery and tracking in video collections[C]//Proceedings of 2015 IEEE International Conference on Computer Vision, 2015: 3173–3181.
[3] [3] Luo H B, Xu L Y, Hui B, et al. Status and prospect of target tracking based on deep learning[J]. Infrared and Laser Engineering, 2017, 46(5): 502002.
[4] [4] Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(5): 564–577.
[5] [5] Jia X, Lu H C, Yang M H. Visual tracking via adaptive structural local sparse appearance model[C]//Proceedings of 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012: 1822–1829.
[6] [6] Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583–596.
[9] [9] Krizhevsky A, Sutskever I, Hinton G E. ImageNet classification with deep convolutional neural networks[C]//Proceedings of the 25th International Conference on Neural Information Processing Systems, 2012: 1097–1105.
[10] [10] Chatfield K, Simonyan K, Vedaldi A, et al. Return of the devil in the details: delving deep into convolutional nets[J]. ar-Xiv:1405.3531 [cs.CV], 2014.
[11] [11] Hyeonseob N, Mooyeol B, Bohyung H. Modeling and Propagating CNNs in a Tree Structure for Visual Tracking[J]. arXiv:1608.07242v1[cs.CV], 2016:1–10.
[12] [12] Shelhamer E, Long J, Darrell T. Fully convolutional networks for semantic segmentation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(4): 640–651.
[13] [13] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]//Proceedings of 2014 Conference on Computer Vision and Pattern Recognition, 2014: 580–587.
[14] [14] Bertinetto L, Valmadre J, Henriques J F, et al. Fully-convolutional Siamese networks for object tracking[C]//Proceedings of 2016 European Conference on Computer Vision, 2016: 850–865.
[15] [15] Valmadre J, Bertinetto L, Henriques J F, et al. End-to-end representation learning for Correlation Filter based tracking[C]//Proceedings of 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017.
[16] [16] Nam H, Han B. Learning multi-domain convolutional neural networks for visual tracking[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016: 4293–4302.
[17] [17] Held D, Thrun S, Savarese S. Learning to track at 100 FPS with deep regression networks[C]//Proceedings of the 14th European Conference on Computer Vision, 2016: 745–765.
[18] [18] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[J]. arXiv:1409.1556[cs.CV], 2014.
[19] [19] Chen K, Tao W B. Once for all: a two-flow convolutional neural network for visual tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2018, 28(12): 3377–3386.
[20] [20] Leal-Taixé L, Canton-Ferrer C, Schindler C. Learning by tracking: Siamese CNN for robust target association[C]//Proceedings of 2016 Computer Vision and Pattern Recognition Workshops, 2016: 418–425.
[21] [21] Tao R, Gavves E, Smeulders A W M. Siamese instance search for tracking[C]//Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016: 1420–1429.
[22] [22] Wang N Y, Li S Y, Gupta A, et al. Transferring rich feature hierarchies for robust visual tracking[J]. arXiv:1501.04587 [cs.CV], 2015.
[23] [23] Zhai M Y, Roshtkhari M J, Mori G. Deep learning of appearance models for online object tracking[J]. arXiv:1607.02568 [cs.CV], 2016.
[24] [24] Wang H Y, Yang Y T, Zhang Z, et al. Deep-learning-aided multi-pedestrian tracking algorithm[J]. Journal of Image and Graphics, 2017, 22(3): 349–357.
[26] [26] Horikoshi K, Misawa K, Lang K. 20-fps motion capture of phase-controlled wave-packets for adaptive quantum control[C]//Proceedings of the 15th International Conference on Ultrafast Phenomena XV, 2006: 175–177.
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Zhao Chunmei, Chen Zhongbi, Zhang Jianlin. Application of aircraft target tracking based on deep learning[J]. Opto-Electronic Engineering, 2019, 46(9): 180261
Category: Article
Received: May. 17, 2018
Accepted: --
Published Online: Oct. 14, 2019
The Author Email: Zhongbi Chen (ioeyoyo@126.com)