|
[1]
|
Yi lmaz A, Javed O, Shah M. Object tracking[J.] ACM Comput Surv, 2006, 38(4):13. |
|
[2]
|
Bao C, Wu Y, Ling H, et al. Real time robust L1 tracker using accelerated proximal gradient approach[J]. Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit, 2012, 157(10):1830-1837. |
|
[3]
|
Bertinetto L, Valmadre J, Golodetz S, et al. Staple:Complementary Learners for Real-Time Tracking[M]. Oxford:University of Oxford, 2015:1401-1409. |
|
[4]
|
Luo J, Konofagou E. A fast normalized cross-correlation calculation method for motion estimation[J]. IEEE Trans Ultrason Ferroelectr Freq Control, 2010, 57(6):1347-1357. |
|
[5]
|
Chang C, Ansari R. Kernel particle filter for visual tracking[J]. IEEE Signal Process Lett, 2005,12(3):242-245. |
|
[6]
|
Amiaz T, Lubetzky E, Kiryati N. Coarse to over-fine optical flow estimation[J]. Pattern Recognit, 2007, 40(9):2496-2503. |
|
[7]
|
Comaniciu D, Meer P, Member S. Mean Shift:a robust approach toward feature space analysis[J]. IEEE Transaction on Pattern Analasys and Machine Intelligence, 2002, 24(5):603-619. |
|
[8]
|
Shi Zelin, Wang Junqing, Huang Shabai. Tracking of deformable objects in complex scene[J]. Opto-Electronic Engineering, 2005, 32(1):2-6. |
|
[9]
|
Zhang T, Bibi A, Ghanem B. In defense of sparse tracking:circulant sparse tracker[C]//CVPR, 2016, 3:1-8. |
|
[10]
|
Tao R, Gavves E, Smeulders A W M. Siamese Instance Search for Tracking[C]//CVPR, 2016:1420-1429. |
|
[11]
|
Kala l Z, Mikolajczyk K, Matas J. Tracking-Learning-Detection[J]. IEEE Transaction on Pattern Analasys and Machine Intelligence, 2010, 6(1):1-14. |
|
[12]
|
Hare S, Saffari A, Torr P H S. Struck_Structured output tracking with kernels[C]//2011 IEEE International Conference on Computer Vision, 2011:263-270. |
|
[13]
|
Henriques J F, Caseiro R, Martins P, et al. High-speed tracking with kernelized correlation filters[J]. EEE Trans Pattern Anal Mach Intell, 2015, 37(3):583-596. |
|
[14]
|
Hinton G E, Salakhutdinov R R. Reducing the dimensionality of data with neural networksr[J]//Science, 2006, 313(5786):504-507. |
|
[15]
|
Hinton G E, Osindero S, Teh Y W. A fast learning algorithm for deep belief nets[J]. Neural Computation, 2006, 18(7):1527-1554. |
|
[16]
|
Held D, Thrun S, Savarese S. Learning to track at 100 FPS with deep regression networks[C]//ECCV, 2016, 9905:749-765. |
|
[17]
|
Wang N, Yeung D Y. Learning a deep compact image representation for visual tracking[C]//Adv Neural Inf Process Syst, 2013:1-9. |
|
[18]
|
Danelljan M, Robinson A, Khan F S, et al. Felsberg, Beyond correlation filters:Learning continuous convolution operators for visual tracking[C]//ECCV 2016, 2016, 9909:472-488. |
|
[19]
|
Qi Y, Zhang S, Qin L, et al. Hedged Deep Tracking[C]//CVPR, 2016:4303-4311. |
|
[20]
|
Wang L, Ouyan g W, Wang X, et al. Stct:Sequentially training convolutional networks for visual tracking[C]//IEEE Conf Comput Vis Pattern Recognit, 2016:1373-1381. |
|
[21]
|
Nam H, Han B. Learning multi-domain convolutional neural networks for visual tracking[J]. Computer Science, 2015:4293-4302. |
|
[22]
|
Nam H, Baek M, Han B. Modeling and propagating CNNs in a tree structure for visual tracking[C]//European Conference on Computer Vision, 2016:1-10. |
|
[23]
|
Cui Z, Xiao S, Feng J, et al. Recurrently target-attending tracking[J]. IEEE Conf Comput Vis Pattern Recognit, 2016:1449-1458. |
|
[24]
|
Ning Guanghan, Zhang Zhi, Huang Chen, et al. Spatially supervised recurrent convolutional neural networks for visual object tracking[C]//CVPR 2016, 2016. |
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