[1] Zhang Huanlong, Hu Shiqiang, Yang Guosheng. Video object tracking based on appearance models learning[J]. Journal of Computer Research and Development, 52, 177-190(2015).

[2] Sun Rui, Huang Jingru, Ding Wenxiu. A real-time object tracking algorithm based on subspace learning[J]. Opto-Electronic Engineering, 42, 52-58(2015).

[3] Yang F, Lu H C, Yang M H. Robust superpixel tracking[J]. IEEE Transactions on Image Processing, 23, 1639-1651(2014).

[4] Liu Wenzhuo, Yuan Guanglin, Xue Mogen. Robust fast visual tracking based on two-stage sparse representation[J]. Acta Optica Sinica, 36, 1215001(2016).

[5] Babenko B, Yang M H, Belongie S. Robust object tracking with online multiple instance learning[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 1619-1632(2011). http://doi.ieeecomputersociety.org/10.1109/TPAMI.2010.226

[6] Xue Yizhe, Wang Tuo. Object-tracking method based on improved cost-sensitive adaboost[J]. Journal of Image and Graphics, 21, 544-555(2016).

[7] Li Y, Zhu J K. A scale adaptive kernel correlation filter tracker with feature integration[C]. Proceedings of 13 ^th European Conference on Computer Vision, 8926, 254-265(2014).

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

[9] Henriques J F, Caseiro R, Martins P et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]. Proceedings of 12th European Conference on Computer Vision, 7575, 702-715(2012).

[10] 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). http://doi.ieeecomputersociety.org/10.1109/TPAMI.2014.2345390

[11] Danelljan M, Khan F S, Felsberg M et al. Adaptive color attributes for real-time visual tracking[C]. Proceedings of 2014 IEEE Conference on Computer Vision and Pattern Recognition, 1090-1097(2014).

[12] Ojala T, Pietikainen M, Harwood D. Performance evaluation of texture measures with classification based on kullback discrimination of distributions[C]. Proceedings of 12th IAPR International Conference on Pattern Recognition, 1, 582-585(1994).

[13] Rifkin R, Yeo G, Poggio T. Regularized least-squares classification[J]. Nato Science Series Sub Series III Computer and Systems Sciences, 190, 131-154(2003).

[14] DanelljanM, HägerG, Khan FS, et al.Accurate scale estimation for robust visual tracking[C]. Proceedings of the British Machine Vision Conference 2014, BMVA Press, 2014.

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

[16] Babenko B, Yang M H, Belongie S. Visual tracking with online multiple instance learning[C]. Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 983-990(2009).

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

[18] Zhang K H, Zhang L, Yang M H. Real-time compressive tracking[C]. Proceedings of 12th European Conference on Computer Vision, 7574, 864-877(2012).

[19] Wu Y, Lim J, Yang M H. Online object tracking: a benchmark[C]. Proceedings of 26th IEEE Conference on Computer Vision and Pattern Recognition, 2411-2418(2013).