Infrared and Laser Engineering, Volume. 51, Issue 10, 20220013(2022)
Target tracking algorithm based on adaptive feature fusion in complex scenes
[1] A Yilmaz, O Javed, M Shah. Object tracking: A survey. Acm Computing Surveys, 38, 13(2006).
[2] Peixia Li, Dong Wang, Lijun Wang, et al. Deep visual tracking: Review and experimental comparison. Pattern Recognition, 76, 323-338(2018).
[3] [3] Bolmeds D S, Beveridge J R, Draper B A, et al. Visual object tracking using adaptive crelation filters[C]2010 IEEE Computer Society Conference on Computer Vision Pattern Recognition, 2010: 25442550.
[4] J F Henriques, R Caseiro, P Martins, et al. Highspeed tracking with kernelized correlation filters. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 583-596(2015).
[5] [5] Dalal N, Triggs B. Histograms of iented gradients f human detection[C]2005 IEEE Computer Society Conference on Computer Vision Pattern Recognition, 2005: 886893.
[6] [6] Danelljan M, Hager G, Khan F S, et al. Learning spatially regularized crelation filters f visual tracking[C]2015 IEEE International Conference on Computer Vision, 2015: 43104318.
[7] [7] Bertito L, Valmadre J, Golodetz S, et al. Staple: Complementary learners f realtime tracking[C]2016 IEEE Conference on Computer Vision Pattern Recognition, 2016: 14011409.
[8] [8] Danelljan M, Khan F S, Felsberg M, et al. Adaptive col attributes f realtime visual tracking[C]2014 IEEE Conference on Computer Vision Pattern Recognition. 2014: 10901097.
[9] Shengnan Fang, Xiaojing Gu, Xingsheng Gu. Infrared object tracking with correlation filtering based on adaptive response fusion. Infrared and Laser Engineering, 48, 0626003(2019).
[10] Kuan Yin, Junli Li, Li Li, et al. Adaptive feature update object tracking algorithm under complex conditions. Acta Optica Sinica, 39, 235-250(2019).
[11] [11] Ma C, Huang J, Yang X, et al. Hierarchical convolutional features f visual tracking[C]2015 IEEE International Conference on Computer Vision, 2015: 30743082.
[12] [12] Danelljan M, Robinson A, Khan F S, et al. Beyond crelation Filters: Learning continuous convolution operats f visual tracking [C]European Conference on Computer Vision, 2016: 472488.
[13] [13] Danelljan M, Bhat G, Khan F S, et al. ECO: Efficient convolution operats f tracking [C]2017 IEEE Conference on Computer Vision Pattern Recognition, 2017: 69316939.
[14] [14] Qi Yuankai, Zhang Shengping, Qin Lei, et al. Hedged deep tracking [C]2017 IEEE Conference on Computer Vision Pattern Recognition, 2016: 43034311.
[15] Hu Jie, Shen Li, Albanie Samuel, et al. Squeeze-and-excitation networks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2011-2023(2017).
[16] [16] Zhou Daquan, Hou Qibin, Chen Yunpeng, et al. Rethinking bottleneck structure f efficient mobile wk design[C]European Conference on Computer Vision, 2020: 680697.
[17] Yi Wu, Joowoo Lim, Ming-Hsuan Yang. Object tracking benchmark. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1834-1848(2015).
[18] [18] Deng J, Dong W, Socher R, et al. Image: A largescale hierarchical image database[C]2009 IEEE Conference on Computer Vision Pattern Recognition, 2009: 248255.
[19] [19] Danelljan M, Hager G, Khan F S, et al. Convolutional features f crelation filter based visual tracking[C]2015 IEEE International Conference on Computer Vision Wkshop, 2016: 621629.
[20] [20] Danelljan M, Häger G, Khan F S, et al. Adaptive decontamination of the training set: A unified fmulation f discriminative visual tracking[C]2016 IEEE Conference on Computer Vision Pattern Recognition, 2016: 14301438.
[21] M Danelljan, G Häger, F S Khan, et al. Discriminative scale space tracking.. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1561-1575(2017).
[22] [22] Henriques J F, Rui C, Martins P, et al. Exploiting the circulant structure of trackingbydetection with kernels [C]European Conference on Computer Vision, 2012: 702715.
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Bo Li, Xinyu Zhang. Target tracking algorithm based on adaptive feature fusion in complex scenes[J]. Infrared and Laser Engineering, 2022, 51(10): 20220013
Category: Image processing
Received: Feb. 20, 2022
Accepted: --
Published Online: Jan. 6, 2023
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