• Acta Optica Sinica
  • Vol. 37, Issue 3, 315002 (2017)
Cai Yuzhu*, Yang Dedong, Mao Ning, and Yang Fucai
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/aos201737.0315002 Cite this Article Set citation alerts
    Cai Yuzhu, Yang Dedong, Mao Ning, Yang Fucai. Visual Tracking Algorithm Based on Adaptive Convolutional Features[J]. Acta Optica Sinica, 2017, 37(3): 315002 Copy Citation Text show less
    References

    [1] Smeulders A W M, Chu D M, Cucchiara R, et al. Visual tracking: An experimental survey[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014, 36(7): 1442-1468.

    [2] Ross D A, Lim J, Lin R S, et al. Incremental learning for robust visual tracking[J]. International Journal of Computer Vision, 2008, 77(1): 125-141.

    [3] Kwon J, Lee K M. Visual tracking decomposition[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2010: 1269-1276.

    [4] Liu Wei, Zhao Wenjie, Li Cheng, et al. Long-term visual tracking based on spatio-temporal context[J]. Acta Optica Sinica, 2016, 36(1): 0115001.

    [5] Liu Wei, Zhao Wenjie, Li Cheng, et al. An online learning visual tracking method based on compressive sensing[J]. Acta Optica Sinica, 2015, 35(9): 0915001.

    [6] Hare S, Saffaria A, Torr P H S, et al. Struck: Structured output tracking with kernels[C]. IEEE International Conference on Computer Vision, 2011: 12490885.

    [7] Gao J, Ling H, Hu W, et al. Transfer learning based visual tracking with Gaussian processes regression[C]. European Conference on Computer Vision, 2014: 188-203.

    [8] Kalal Z, Mikolajczyk K, Matas J, et al. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(7): 1409-1422.

    [9] 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.

    [10] Li Y, Zhu J. A scale adaptive kernel correlation filter tracker with feature integration[C]. European Conference on Computer Vision, 2014: 254-265.

    [11] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C]. IEEE Computer Society Conference on Computer Vision and Pattern Recognition(CVPR), 2005: 886-893.

    [12] Ma C, Yang X, Zhang C, et al. Long-term correlation tracking[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2015: 5388-5396.

    [13] Pan Zhenfu, Zhu Yongli. Kernelized correlation filters object tracking method with multi-scale estimation[J]. Laser & Optoelectronics Progress, 2016, 53(10): 101501.

    [14] Zhang Jianwei. High-precision extended object tracking based on region feature matching[J]. Laser & Optoelectronics Progress, 2015, 52(5): 051004.

    [15] Galoogahi H K, Sim T, Lucey S. Correlation filters with limited boundaries[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2015: 4630-4638.

    [16] Danelljan M, Hger G, Khan F, et al. Learning spatially regularized correlation filters for visual tracking[C]. IEEE International Conference on Computer Vision, 2015: 3074-3082.

    [17] Wu Y, Lim J, Yang M H, et al. Object tracking benchmark[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(9): 1834-1848.

    [18] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[C/OL]. arXiv: 1409.1556, 2014. [2016-08-20]. https: ∥arxiv.org/pdf/1409.1556v6.pdf.

    [19] Krizhevsky A, Sutskever I, Hinton G E. Imagenet classification with deep convolutional neural networks[C]. Advances in Neural Information Processing Systems, 2012: 1097-1105.

    [20] Girshick R, Donahue J, Darrell T, et al. Rich feature hierarchies for accurate object detection and semantic segmentation[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2014: 580-587.

    [21] Jia Y, Shelhamer E, Donahue J, et al. Caffe: Convolutional architecture for fast feature embedding[C]. Proceedings of the 22nd ACM International Conference on Multimedia, 2014: 675-678.

    [22] Cimpoi M, Maji S, Vedaldi A. Deep convolutional filter banks for texture recognition and segmentation[J/OL]. arXiv preprint arXiv: 1411.6836, 2014. [2016-08-20]. https: ∥arxiv.org/pdf/1411.6836v2.pdf.

    [23] Bolme D S, Beveridge J R, Draper B A, et al. Visual object tracking using adaptivess correlation filters[C]. IEEE Conference on Computer Vision and Pattern Recognition, 2010: 2544-2550.

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    Cai Yuzhu, Yang Dedong, Mao Ning, Yang Fucai. Visual Tracking Algorithm Based on Adaptive Convolutional Features[J]. Acta Optica Sinica, 2017, 37(3): 315002
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