[1] YILMAZ A, JAVED O, SHAH M. Object tracking:a survey[J]. ACM Computing Surveys, 2006, 38(4):13-55. [2] CHENG Y. Mean shift, mode seeking clustering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995, 17(8):790-799. [3] COMANICIU D, RAMESH V, MEER P. Real-time tracking of non-rigid objects using mean shift[C]//Proceedings of the 2003 IEEE Conference on Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2003:2002-2142. [4] DOUCET A, de FREITAS N, GORDON N. Sequential Monte Carlo Methods in Practice[M]. Berlin:Springer, 2001:496-497. [5] RISTIC B, ARULAMPALAM S, GORDON N. Beyond the Kalman filter-particle filters for tracking applications[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 18(5):37-38. [6] 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. Washington, DC:IEEE Computer Society, 2014:1090-1097. [7] BOLME D S, BEVERIDGE J R, DRAPER B A, et al. Visual object tracking using adaptive correlation filters[C]//Proceedings of the 2010 Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2010:2544-2550. [8] HENRIQUES J F, RUI C, MARTINS P, et al. Exploiting the circulant structure of tracking-by-detection with kernels[C]//Proceedings of the 2012 European Conference on Computer Vision, LNCS 7575. Berlin:Springer, 2012:702-715. [9] HENRIQUES J F, RUI C, 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. [10] MUELLER M, SMITH N, GHANEM B. Context-aware correlation filter tracking[C]//Proceedings of the 2017 Computer Vision and Pattern Recognition. Piscataway, NJ:IEEE, 2017:1387-1395. [11] 管皓,薛向阳,安志勇.深度学习在视频目标跟踪中的应用进展与展望[J].自动化学报,2016,42(6):834-847. (GUAN H, XUE X Y, AN Z Y. Advances on application of deep learning for video-object tracking[J]. Acta Automatica Sinica, 2016, 42(6):834-847.) [12] 王鑫,侯志强,余旺盛,等.基于多层卷积特征融合的目标尺度自适应稳健跟踪[J].光学学报,2017,37(11):232-243. (WANG X, HOU Z Q, YU W S, et al. Target scale adaptive robust tracking based on fusion of multilayer convolutional features[J]. Acta Optica Sinica, 2017, 37(11):232-243.) [13] MA C, HUANG J-B, YANG X K, et al. Hierarchical convolutional features for visual tracking[C]//Proceedings of the 2015 IEEE International Conference on Computer Vision. Washington, DC:IEEE Computer Society, 2015:3074-3082. [14] 熊昌镇,车满强,王润玲.基于稀疏卷积特征和相关滤波的实时视觉跟踪算法[J].计算机应用,2018,38(8):2175-2179. (XIONG C Z, CHE M Q, WANG R L. Real-time visual tracking algorithm based on correlation filters and sparse convolutional features[J]. Journal of Computer Applications, 2018, 38(8):2175-2179.) [15] QI Y, ZHANG S, QIN L, et al. Hedged deep tracking[C]//Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition. Washington,DC:IEEE Computer Society, 2016:4303-4311. [16] WU Y, LIM J, YANG M-H. Online object tracking:a benchmark[C]//Proceedings of the 2013 Computer Vision and Pattern Recognition. Washington, DC:IEEE Computer Society, 2013:2411-2418. [17] BERTINETTO L, VALMADRE J, HENRIQUES J F, et al. Fully-convolutional siamese networks for object tracking[C]//Proceedings of the 2016 European Conference on Computer Vision, LNCS 9914. Cham:Springer, 2016:850-865. |