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

[2] 刘 威, 赵文杰, 李 成. 时空上下文学习长时目标跟踪［J］. 光学学报, 2016, 36(1): 0115001.

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

[3] Chen Z, Hong Z B, Tao D C. An experimental survey on correlation filter-based tracking［Z/OL］. (2015-09-18)［2016-09-20］. https:∥arxiv.org/abs/1509.05520.

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

[5] Henriques J F, Caseiro R, Martins P, et al. Exploiting the circulant structure of tracking-by-detection with kernels［C］. European Conference on Computer Vision, 2012: 702-715.

[6] 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.

[7] Danelljan M, Shahbaz Khan F, Felsberg M, et al. Adaptive color attributes for real-time visual tracking［C］. IEEE Conference on Computer Vision and Pattern Recognition, 2014: 1090-1097.

[8] Qi Y, Zhang S, Qin L, et al. Hedged deep tracking［C］. IEEE Conference on Computer Vision and Pattern Recognition, 2016.

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

[10] Bertinetto L, Valmadre J, Golodetz S, et al. Staple: complementary learners for real-time tracking［C］. International Conference on Computer Vision and Pattern Recognition, 2016: 1401-1409.

[11] 何玉杰, 李 敏, 张金利, 等. 基于相关滤波器的红外弱小目标检测算法［J］. 光学学报, 2016, 36(5): 0512001.

    He Yujie, Li Min, Zhang Jinli, et al. Infrared small target detection method based on correlation filter［J］. Acta Optica Sinica, 2016, 36(5): 0512001.

[12] Danelljan M, Hger G, Khan F, et al. Accurate scale estimation for robust visual tracking［C］. British Machine Vision Conference, Nottingham, 2014.

[13] 徐玉龙, 王家宝, 李 阳, 等. 基于相关滤波的尺度自适应目标跟踪［J］. 计算机应用研究, 2016, 11: 1-6.

    Xu Yulong, Wang Jiabao, Li Yang, et al. Scale-adaptive tracking based on kernelized correlation filter［J］. Application Research of Computers, 2016, 11: 1-6.

[14] 郭鹏宇, 苏 昂, 张红良, 等. 结合纹理和形状特征的在线混合随机朴素贝叶斯视觉跟踪器［J］. 光学学报, 2015, 35(3): 0315002.

    Guo Pengyu, Su Ang, Zhang Hongliang, et al. Online mixture of random Nave Bayes tracker combined texture with shape feature［J］. Acta Optica Sinica, 2015, 35(3): 0315002.

[15] Felzenszwalb P F, Girshick R B, Mcallester D, et al. Object detection with discriminatively trained part-based models［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(9): 1627-1645.

[16] Ojala T, Pietikainen M, Maenpaa T. Multiresolution gray-scale and rotation invariant texture classification with local binary patterns［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002, 24(7): 971-987.

[17] van de Weijer J, Schmid C, Verbeek J. Learning color names from real-world Images［C］. IEEE Conference on Computer Vision and Pattern Recognition, Minneapolis, Minnesota, USA, 2007.

[18] Kalal Z, Matas J, Mikolajczyk K. Pn learning: bootstrapping binary classifiers by structural constraints［C］. IEEE Conference on Computer Vision and Pattern Recognition, 2010: 49-56.

[19] Hare S, Golodetz S, Saffari A, et al. Struck: structured output tracking with kernels［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 38(10): 2096-2109.

[20] Zhong W, Lu H, Yang M H. Robust object tracking via sparsity-based collaborative model［C］. IEEE Conference on Computer Vision and Pattern Recognition, 2012: 1838-1845.