Infrared and Laser Engineering, Volume. 50, Issue 9, 20200491(2021)
Two-stage object tracking method based on Siamese neural network
[1] Smeulder A, Chu D, Cucchiara R, et al. Viusal tracking: An experimental survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36, 1442-1468(2014).
[2] Hou Z Q, Han C X. A survey of visual tracking[J]. Acta Automatica Sinica, 32, 603-607(2016).
[3] [3] Wang N, Shi J, Yeung DY, et al. Understing diagnosing visual tracking systems[C]IEEE International Conference on Computer Vision, 2015: 31013109.
[4] [4] Qi He. Research on target tracking key techniques of electrooptical image guidance system[D]. Beijing: Beijing Institute of Technology, 2016: 14. (in Chinese)
[5] Yang Chunwei, Wang Shicheng, Liao Shouyi, et al. Forward-looking-infrared building object tracking based on sparse representation of covariance descriptor[J]. Infrared Technology, 38, 389-395(2016).
[6] Hossain S, Lee D J. Deep learning-based real-time multiple-object detection and tracking from aerial imagery via a flying robot with GPU-Based embedded devices[J]. Sensors, 19, 1-2(2019).
[7] Qiu Z L, Zha Y F, Zhu P, et al. Visual tracking algorithm based on online feature discrimination with Siamese network[J]. Acta Optica Sinica, 39, 2247(2019).
[8] Li Yong, Yang Dedong, Han Yajun, et al. Siamese neural networks object tracking integrating[J]. Acta Optica Sinica, 40, 0415002(2020).
[9] Shi Guoqiang, Zhao Xia. Object tracking algorithm based on jointly-optimized strong-coupled Siamese region proposal network[J]. Journal of Computer Applications, 40, 2822-2830(2020).
[10] [10] Bolme D, Beveridge J, Draper B, et al. Visual object tracking using adaptive crelation filters[C]IEEE Conference on Computer Vision Pattern Recognition, 2010: 25442550.
[11] [11] Danelljan M, Khan F, Felsberg M, et al. Adaptive col attributes f realtime visual tracking[C]IEEE Conference on Computer Vision Pattern Recognition, 2014: 10901097.
[12] [12] Henriques J, Caserio R, Martins P, et al. Exploiting the circulant structure of trackingbydetection with kernels[C]European Conference on Computer Vision, 2012: 702715.
[13] Henriques J, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transaction on Pattern Analysis and Machine Intelligence, 37, 583-596(2015).
[14] [14] Valmadre J, Bertito L, Henriques J F, et al. Endtoend representation learning f crelation filter based tracking[C]IEEE Conference on Computer Vision Pattern Recognition, 2017: 28052813.
[15] [15] Wang N, Yeung D. Learning a deep compact image representation f visual tracking[C]Advances in Neural Infmation Processing Systems, 2013: 809817.
[16] [16] Zhang K, Liu Q, Wu Y, et al. Robust visual tracking via convolutional wks without training[C]IEEE Transactions on Image Processing, 2015: 17791792.
[17] [17] Wang L, Ouyang W, Wang X, et al. Visual tracking with fully convolutional wks[C]IEEE International Conference on Computer Vision, 2015: 31193127.
[18] [18] Ma C, Huang J, Yang X, et al. Hierarchical convolutional features f visual tracking[C]IEEE International Conference on Computer Vision, 2015: 30743082.
[19] [19] Nam H, Han B. Learning multidomain convolutional neural wks f visual tracking[C]IEEE Conference on Computer Vision Pattern Recognition, 2016: 42934302.
[20] [20] Tao R, Gavves E, Smeulders A W. Siamese instance search f tracking[C]IEEE Conference on Computer Vision Pattern Recognition, 2016: 903909.
[21] [21] Held D, Thrun S, Savarese S. Learning to track at 100 fps with deep regression wks[C]European Conference on Computer Vision, 2016: 749765.
[22] [22] Bertito L, Valmadre J, Henriques J F, et al. Fully convolutional siamese wks f object tracking[C]Proceedings of the European Conference on Computer Vision Wkshop, 2016: 850865.
[23] [23] Guo Q, Feng W, Zhou C, et al. Learning dynamic Siamese wk f visual object tracking[C]IEEE International Conference on Computer Vision, 2017: 17811789.
[24] [24] Yang T, Chan A B. Recurrent filter learning f visual tracking[C]IEEE International Conference on Computer Vision Wkshops, 2018: 20102019.
[25] [25] Zhu Z, Wu W, Zou W, et al. Endtoend flow crelation tracking with spatialtempal attention[C]IEEE Conference on Computer Vision Pattern Recognition, 2018: 548557.
[26] [26] He A, Luo C, Tian X, et al. A twofold Siamese wk f realtime object tracking[C]IEEE Conference on Computer Vision Pattern Recognition, 2018: 48344843.
[27] [27] Li B, Yan J, Wu W, et al. High perfmance visual tracking with siamese region proposal wk[C]IEEE Conference on Computer Vision Pattern Recognition, 2018: 89718980.
[28] [28] Zhu Z, Wang Q, Li B, et al. Distractaware siamese wks f visual object tracking[C]IEEE European Conference on Computer Vision, 2018: 103119.
[29] [29] Valmadre J, Bertito L, Henriques J F, et al. Endtoend representation learning f crelation filter based tracking[C]IEEE Conference on Computer Vision Pattern Recognition, 2017: 50005008.
Get Citation
Copy Citation Text
Hongwei Zhang, Xiaoxia Li, Bin Zhu, Yang Zhang. Two-stage object tracking method based on Siamese neural network[J]. Infrared and Laser Engineering, 2021, 50(9): 20200491
Category: Image processing
Received: Dec. 10, 2020
Accepted: --
Published Online: Oct. 28, 2021
The Author Email: