[1] HOU Z, HAN C. A survey of visual tracking[J]. Acta Automatic Sinica, 2006, 32(4):603-617. (侯志强,韩崇昭.视觉跟踪技术综述[J].自动化报,2006,32(4):603-617.) [2] HARE S, SAFFARI A, TORR P H S. Structured output tracking with kernels[C]//Proceedings of the 2011 IEEE International Conference on Computer Vision. Piscataway:IEEE, 2011:263-270. [3] KALAL Z, MIKOLAJCZYK K, MATAS J. Tracking-learning-detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(7):1409-1422. [4] 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. [5] ZHANG K, ZHANG L, YANG M H. Real-time compressive tracking[M]//ECCV 2012:Proceedings of the 12th European Conference on Computer Vision, LNCS 7574. Berlin:Springer, 2012:864-877. [6] BOLME D S, BEVERIDGE J R, DRAPER B A, et al. Visual object tracking using adaptive correlation filters[C]//Proceedings of the 2010 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway:IEEE, 2010:2544-2550. [7] ZHANG K, ZHANG L, YANG M H, et al. Fast tracking via spatio-temporal context learning[EB/OL].[2015-05-01]. http://azadproject.ir/wp-content/uploads/2014/07/Fast-Tracking-via-Spatio-Temporal-Context-Learning.pdf. [8] HENRIQUES J F, CASEIRO R, MARTINS P, et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]//ECCV 2012:Proceedings of 12th European Conference on Computer Vision, LNCS 7575. Berlin:Springer, 2012:702-715. [9] DANELLJAN M, KHAN F S, FELSBERG M, et al. Adaptive color attributes for real-time visual tracking[C]//Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway; IEEE, 2014:1090-1097. [10] van de WEIJER J, SCHMID C, VERBEEK J, et al. Learning color names for real-world applications[J]. IEEE Transactions on Image Processing, 2009, 18(7):1512-1523. [11] LI Y, ZHU J. A scale adaptive kernel correlation filter tracker with feature integration[C]//Proceedings of the 13th European Conference on Computer Vision-ECCV 2014 Workshops, LNCS 8926. Berlin:Springer, 2014:254-265. [12] HENRIQUES 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. [13] DALAL N, TRIGGS B. Histograms of oriented gradients for human detection[C]//CVPR 2005:Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Piscataway:IEEE, 2005:886-893. [14] RIFKIN R, YEO G, POGGIO T. Regularized least-squares classification[C]//Advances in Learning Theory:Methods, Model and Applications, NATO Science Series Sub Series Ⅲ Computer and Systems Sciences, Vol.190. Amsterdam:IOS Press, 2003:131-154. [15] WU Y, LIM J, YANG M. Online object tracking:a benchmark[C]//Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway:IEEE, 2013:2411-2418. [16] BODDETI V N, KANADE T, KUMAR B V K V. Correlation filters for object alignment[C]//Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway:IEEE, 2013:2291-2298. [17] EVERINGHAM M, van GOOL L, WILLIAMS C K I, et al. The pascal Visual Object Classes (VOC) challenge[J]. International Journal of Computer Vision, 2010, 88(2):303-338. |