[1] KWON J, LEE K M. Visual tracking decomposition [C]//Proceedings of 2010 IEEE Conference on Computer Vision and Pattern Recognition. San Francisco, CA, USA: IEEE, 2010: 1269-1276.

[2] SHARMA S, KHACHANE A, MOTWANI D. Real time multi-object tracking using TLD framework [C]//Proceedings of 2016 International Conference on Inventive Computation Technologies. Coimbatore, India: IEEE, 2016: 1-6.

[3] BABENKO B, YANG M H, BELONGIE S. Robust object tracking with online multiple instance learning [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 33(8): 1619-1632.

[4] HERE S, SAFFARI A, TORR P H S. Struck: structured output tracking with kernels [C]//Proceedings of 2011 IEEE International Conference on Computer Vision. Barcelona, Spain: IEEE, 2011: 263-270.

[5] ZHAO M, QIAN H M, RONG Y J, et al. Robust object tracking via sparse representation based on compressive collaborative Haar-like feature space [C]//Proceedings of 2016 International Conference on Audio, Language and Image Processing. Shanghai, China: IEEE, 2016: 274-278.

[6] LIU Y X, ZHANG Y Z, HU M Y, et al. Fast tracking via spatio-temporal context learning based on multi-color attributes and pca [C]//Proceedings of 2017 IEEE International Conference on Information and Automation. Macau, China: IEEE, 2017: 398-403.

[7] 张雷，王延杰，孙宏海，等．采用核相关滤波器的自适应尺度目标跟踪[J]．光学 精密工程，2016，24(2): 448-459．

    ZHANG L, WANG Y J, SUN H H, et al. Adaptive scale object tracking with kernelized correlation filters [J]. Optics and Precision Engineering, 2016, 24(2): 448-459. (in Chinese)

[8] 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.

[9] 王暐，王春平，李军，等．特征融合和模型自适应更新相结合的相关滤波目标跟踪[J]．光学 精密工程，2016，24(8): 2059-2066．

    WANG W, WANG C P, LI J, et al. Correlation filter tracking based on feature fusing and model adaptive updating[J]. Optics and Precision Engineering, 2016, 24(8): 2059-2066. (in Chinese)

[10] WU Y, LIM J, YANG M H. Online object tracking: a benchmark [C]//Proceedings of 2013 IEEE Conference on Computer Vision and Pattern Recognition. Portland, OR, USA: IEEE, 2013: 2411-2418.

[11] SIMONYAN K, ZISSERMAN A. Very deep convolutional networks for large-scale image recognition \[OL\]. eprint arXiv: 1409.1556, 2015.

[12] DENG J, DONG W, SOCHER R, et al. Imagenet: a large-scale hierarchical image database[C]//Proceedings of 2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami, FL, USA: IEEE, 2009: 248-255.

[13] Adel B, Matthias M, Bernard G, et al. Target response adaptation for correlation filter tracking［C］. European Conference on Computer Vision, 2016: 1-6.

[14] GAO J, LING H B, HU W M, et al. Transfer learning based visual tracking with Gaussian processes regression [C]//FLEET D, PAJDLA T, SCHIELE B, et al. Computer Vision – ECCV 2014. Cham: Springer, 2014, 8691: 188-203.

[15] ZHANG K H, ZHANG L, YANG M H. Real-time compressive tracking [C]//FITZGIBBON A, LAZEBNIK S, PERONA P, et al. Computer Vision – ECCV 2012. Berlin, Heidelberg: Springer, 2012, 7574: 864-877.

[16] WANG N Y, YEUNG D Y. Learning a deep compact image representation for visual tracking [C]//Proceedings of the 26th International Conference on Neural Information Processing Systems. Lake Tahoe, Nevada: ACM, 2013: 809-817.

[17] 刘扬，张云峰，董月芳．复杂背景下抗遮挡的运动目标跟踪算法[J]．液晶与显示，2010，25(6): 890-895．

    LIU Y, ZHANG Y F, DONG Y F. Anti-occlusion algorithm of tracking moving object in clutter background [J]. Chinese Journal of Liquid Crystals and Displays, 2010, 25(6): 890-895. (in Chinese)

[18] 杨德东，毛宁，杨福才，等．利用最佳伙伴相似性的改进空间正则化判别相关滤波目标跟踪[J]．光学 精密工程，2018，26(2): 492-502．

    YANG DD, MAO N, YANG F C, et al. Improved SRDCF object tracking via the best-buddies similarity [J]. Optics and Precision Engineering, 2018, 26(2): 492-502. (in Chinese)