Yang H X, Shao L, Zheng F, et al. Recent advances and trends in visual tracking: a review [J]. Neurocomputing, 2011, 74:3823-3831.
[2]
Hou Z Q, Han C Z. A survey of visual tracking [J]. Acta Automatica sinica, 2006,32(4): 603-617.[侯志强, 韩崇昭. 视觉跟踪技术综述 [J].自动化学报,2006,32(4): 603-617.]
[3]
Comaniciu D, Ramesh V, Meer P. Kernel-based object tracking [J].IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003, 25(5):564-577.
[4]
Collins R T. Mean-Shift blob tracking through scale space [C]//Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition. Madison, WI, United States : IEEE,2003: 234-240.
[5]
Zhuang B H, Lu H C, Xiao Z Y, et al. Visual tracking via discriminative sparse similarity map [J].IEEE Transactions on Image Processing, 2014, 23(4):1872-1881.
[6]
Wang D, Lu H C, Yang M. Online object tracking with sparse prototypes [J].IEEE Transactions on Image Process, 2013, 22(1):314-325.
[7]
Sevilla L, Learned E. distribution fields for Tracking. [C]//Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. Providence, RI, United states: IEEE, 2012: 1910-1917.
[8]
Ning J F, Zhang L, Zhang D, et al. Robust mean shift tracking with corrected background-weighted histogram.[J]. IET Computer Vision,2012, 6(1): 62-69.
[9]
Henriques J F, Caseiro R, Martins P, et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]// Proceedings of European Conference on Computer Vision. Berlin: Springer Verlag,2012: 702-715.
[10]
Ning J F, Zhang L, Zhang D, et al. Scale and orientation adaptive mean shift tracking [J]. IET Computer Vision, 2012, 6(1):52-61.
[11]
Li Q, Shao C. Nonlinear systems identification based on kernel ridge regression and its application [J]. Journal of System Simulation, 2009, 21(8): 2152-2155. [李 琦,邵诚.基于核岭回归的非线性系统辨识及其应用[J].系统仿真学报, 2009, 21(8): 2152-2155.]
[12]
Ross D, 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.
