• Laser & Optoelectronics Progress
  • Vol. 58, Issue 2, 0215007 (2021)
Xiangming Qi and Wei Chen*
Author Affiliations
  • College of Software, Liaoning Technical University, Huludao, Liaoning 125105, China
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    DOI: 10.3788/LOP202158.0215007 Cite this Article Set citation alerts
    Xiangming Qi, Wei Chen. Correlation Filter Object Tracking Based on Adaptive Spatiotemporal Regularization[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0215007 Copy Citation Text show less
    References

    [1] Lu H C, Li P X, Wang D. Visual object tracking: a survey[J]. Pattern Recognition and Artificial Intelligence, 31, 61-76(2018).

    [2] Zhang W, Kang B S. Recent advances in correlation filter-based object tracking: a review[J]. Journal of Image and Graphics, 22, 1017-1033(2017).

    [3] Bolme D S, Beveridge J R, Draper B A et al. Visual object tracking using adaptive correlation filters[C]∥2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 13-18, 2010, San Francisco, CA, USA., 2544-2550(2010).

    [4] Henriques J F, Caseiro R, Martins P et al. Exploiting the circulant structure of tracking-by-detection with kernels[M]. ∥Fitzgibbon A, Lazebnik S, Perona P, et al. Computer Vision-ECCV2012. Lecture Notes in Computer Science. Berlin, Heidelberg: Springer, 7575, 702-715(2012).

    [5] 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, 37, 583-596(2015).

    [6] Danelljan M, Häger G, Shahbaz Khan F et al. Accurate scale estimation for robust visual tracking[C]∥Proceedings of the British Machine Vision Conference 2014, Nottingham. Durham, England,, 1-11(2014).

    [7] Li Y, Zhu J K. A scale adaptive kernel correlation filter tracker with feature integration. [C]∥Agapito L, Bronstein M, Rother C. Computer Vision-ECCV2014 Workshops.Lecture Notes in Computer Science. Cham: Springer, 8926, 254-265(2015).

    [8] Liu X Y, Wang Y M, Ma W N. Scale-adaptive correlation filter tracking algorithm based on FHOG and LBP features[J]. Laser & Optoelectronics Progress, 57, 041512(2020).

    [9] Chen F L, Ding Q H, Chang Z et al. Multi-scale kernel correlation filter algorithm for visual tracking based on the fusion of adaptive features[J]. Acta Optica Sinica, 40, 0315001(2020).

    [10] Zhu H J, Yu F Q. Feature-weight and scale adaptive algorithm for kernel correlation tracking[J]. Laser & Optoelectronics Progress, 56, 101501(2019).

    [11] Danelljan M, Häger G, Khan F S et al. Learning spatially regularized correlation filters for visual tracking[C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile., 4310-4318(2015).

    [12] Dai K N, Wang D, Lu H C et al. Visual tracking via adaptive spatially-regularized correlation filters[C]∥2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 15-20, 2019, Long Beach, CA, USA., 4665-4674(2019).

    [13] Li F, Tian C, Zuo W M et al. Learning spatial-temporal regularized correlation filters for visual tracking[C]∥2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, June 18-23, 2018, Salt Lake City, UT, USA., 4904-4913(2018).

    [14] Qin Y, Lu H C, Xu Y Q et al. Saliency detection via cellular automata[C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA., 110-119(2015).

    [15] Hu Z H, Han Q, Li Q. Correlation filter tracking algorithm based on temporal awareness and adaptive spatial regularization[J]. Acta Optica Sinica, 40, 0315003(2020).

    [16] Wu Y, Lim J, Yang M H. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1834-1848(2015).

    [17] Galoogahi H K, Fagg A, Lucey S. Learning background-aware correlation filters for visual tracking[C]∥2017 IEEE International Conference on Computer Vision (ICCV), October 22-29, 2017, Venice, Italy., 1144-1152(2017).

    [18] Hong S, You T, Kwak S et al. Online tracking by learning discriminative saliency map with convolutional neural network. [C]∥ICML'15: Proceedings of the 32nd International Conference on International Conference on Machine Learning, July 6-11, 2015, Lille, France. Massachusetts: JMLR, 597-606(2015).

    Xiangming Qi, Wei Chen. Correlation Filter Object Tracking Based on Adaptive Spatiotemporal Regularization[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0215007
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