• Infrared and Laser Engineering
  • Vol. 47, Issue 5, 526001 (2018)
Tang Cong1、2, Ling Yongshun1、2, Yang Hua1、2, Yang Xing1、2, and Zheng Chao1、2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • show less
    DOI: 10.3788/irla201847.0526001 Cite this Article
    Tang Cong, Ling Yongshun, Yang Hua, Yang Xing, Zheng Chao. A visual tracking method via object detection based on deep learning[J]. Infrared and Laser Engineering, 2018, 47(5): 526001 Copy Citation Text show less
    References

    [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] Kwak S, Cho M, Laptev I, et al. Unsupervised object discovery and tracking in video collections[C]//IEEE International Conference on Computer Vision, 2015: 3173-3181.

    [3] Luo Haibo, Xu Lingyun, Hui Bin, et al. Status and prospect of target tracking based on deep learning[J]. Infrared and Laser Engineering, 2017, 46(5): 0502002. (in Chinese)

    [4] Mei X, Ling H. Robust visual tracking using l1 minimization[C]//IEEE International Conference on Computer Vision, 2010: 1436-1443.

    [5] Ross D A, Lim J, Lin R S, et al. Incremental learning for robust visual tracking[J]. International Journal of Computer Vision, 2008, 77(1-3): 125-141.

    [6] Wang N, Wang J, Yeung D Y. Online robust non-negative dictionary learning for visual tracking[C]//IEEE International Conference on Computer Vision, 2013: 657-664.

    [7] Henriques J F, Rui C, Martins P, et al. High-speed tracking with kernelized correlation filters[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2014, 37(3): 583-596.

    [8] Babenko B, Yang M H, Belongie S. Robust object tracking with online multiple instance learning[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2011, 33(8):1619-1632.

    [9] Grabner H, Grabner M, Bischof H. Real-time tracking via on-line boosting[C]//British Machine Vision Conference, 2006: 47-56.

    [10] Hare S, Saffari A, Torr P H S. Struck: structured output tracking with kernels[C]//IEEE International Conference on Computer Vision, 2011: 263-270.

    [11] Wang N, Yeung D Y. Learning a deep compact image representation for visual tracking[C]//International Conference on Neural Information Processing Systems, 2013: 809-817.

    [12] Nam H, Han B. Learning multi-domain convolutional neural networks for visual tracking[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2016: 4293-4302.

    [13] Held D, Thrun S, Savarese S. Learning to track at 100 FPS with deep regression networks[C]//European Conference on Computer Vision, 2016: 749-765.

    [14] Ma C, Huang J B, Yang X, et al. Hierarchical convolutional features for visual tracking[C]//IEEE International Conference on Computer Vision, 2015: 3074-3082.

    [15] Wang L, Liu T, Wang G, et al. Video tracking using learned hierarchical features[J]. IEEE Transactions on Image Processing, 2015, 24(4): 1424-1435.

    [16] Wang N, Li S, Gupta A, et al. Transferring rich feature hierarchies for robust visual tracking[J]. Computer Science, 2015, arXiv: 1501.0458.

    [17] Wang X, Hou Z, Yu W, et al. Robust visual tracking via multiscale deep sparse networks[J]. Optical Engineering, 2017, 56(4): 043107.

    [18] Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real-time object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779-788.

    [19] Liu W, Anguelov D, Erhan D, et al. SSD: Single shot multibox detector[C]//European Conference on Computer Vision, 2016: 21-37.

    [20] Cai Z, Fan Q, Feris R S, et al. A unified multi-scale deep convolutional neural network for fast object detection[C]// European Conference on Computer Vision, 2016: 354-370.

    [21] Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[C]//ICLR, 2015: arXiv: 1409.1556.

    [22] Yin S F, Wang Y C, Cao L C, et al. Fast correlation matching based on fast fourier fransform and integral image[J]. Acta Photonia Sinica, 2010, 39(12): 2246-2250. (in Chinese)

    [23] Bal A, Alum M S. Automatic target tracking in FLIR image sequences[C]//SPIE, 2004, 5426: 30-36.

    [24] Wu Y, Lim J, Yang M H. object tracking benchmark[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 37(9): 1834-1848.

    [25] Kalal Z, Matas J, Mikolajczyk K. P-N learning: bootstrapping binary classifiers by structural constraints[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2010, 238(6): 49-56.

    [26] Zhang K, Zhang L, Yang M H. Real-time compressive tracking[C]//European Conference on Computer Vision, 2012: 864-877.

    [27] Learnedmiller E, Sevillalara L. Distribution fields for tracking[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2012: 1910-1917.

    Tang Cong, Ling Yongshun, Yang Hua, Yang Xing, Zheng Chao. A visual tracking method via object detection based on deep learning[J]. Infrared and Laser Engineering, 2018, 47(5): 526001
    Download Citation