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Structured output support vector machine (SVM) based tracking algorithms have shown favorable performance recently.
Large margin methods for structured and interdependent output variables
I. Tsochantaridis, T. Joachims, T. Hofmann, and Y. Altun · 2005
Earlier work this paper cites.
Real-time tracking via on-line boosting
H. Grabner, M. Grabner, and H. Bischof · 2006
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Semi-supervised on-line boosting for robust tracking
H. Grabner, C. Leistner, and H. Bischof · 2008
Earlier work this paper cites.
Incremental learning for robust visual tracking
D. A. Ross, J. Lim, R.-S. Lin, and M.-H. Yang · 2008
Earlier work this paper cites.
Visual object tracking using adaptive correlation filters
D. S. Bolme, J. R. Beveridge, B. A. Draper, and Y. M. Lui · 2010
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Visual tracking decomposition
J. Kwon and K. M. Lee · 2010
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Robust object tracking with online multiple instance learning
B. Babenko, M.-H. Yang, and S. Belongie · 2011
Earlier work this paper cites.
Struck: Structured output tracking with kernels
S. Hare, A. Saffari, and P. H. Torr · 2011
Earlier work this paper cites.
Visual tracking via adaptive structural local sparse appearance model
X. Jia, H. Lu, and M.-H. Yang · 2012
Earlier work this paper cites.
Tracking-learning-detection
Z. Kalal, K. Mikolajczyk, and J. Matas · 2012
Earlier work this paper cites.
Robust object tracking via sparsity-based collaborative model
W. Zhong, H. Lu, and M.-H. Yang · 2012
Earlier work this paper cites.
Online object tracking: A benchmark
Y. Wu, J. Lim, and M.-H. Yang · 2013
Cited alongside, same era.
Accurate scale estimation for robust visual tracking
M. Danelljan, G. Häger, F. Khan, and M. Felsberg · 2014
Cited alongside, same era.
Adaptive color attributes for real-time visual tracking
M. Danelljan, F. Shahbaz Khan, M. Felsberg, and J. Van de Weijer · 2014
Cited alongside, same era.
Transfer learning based visual tracking with gaussian processes regression
J. Gao, H. Ling, W. Hu, and J. Xing · 2014
Cited alongside, same era.
A scale adaptive kernel correlation filter tracker with feature integration
Y. Li and J. Zhu · 2014
Cited alongside, same era.
Meem: robust tracking via multiple experts using entropy minimization
J. Zhang, S. Ma, and S. Sclaroff · 2014
Cited alongside, same era.
Reliable patch trackers: Robust visual tracking by exploiting reliable patches
Y. Li, J. Zhu, and S. C. Hoi · 2015
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Hierarchical convolutional features for visual tracking
C. Ma, J.-B. Huang, X. Yang, and M.-H. Yang · 2015
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Visual tracking with fully convolutional networks
L. Wang, W. Ouyang, X. Wang, and H. Lu · 2015
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Object tracking benchmark
Y. Wu, J. Lim, and M.-H. Yang · 2015
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Staple: Complementary learners for real-time tracking
L. Bertinetto, J. Valmadre, S. Golodetz, O. Miksik, and P. H. S. Torr · 2016
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Fully-convolutional siamese networks for object tracking
L. Bertinetto, J. Valmadre, J. F. Henriques, A. Vedaldi, and P. H. Torr · 2016
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Fast visual tracking via dense spatio-temporal context learning
K. Zhang, L. Zhang, Q. Liu, D. Zhang, and M.-H. Yang · 2014
Cited alongside, same era.
Convolutional features for correlation filter based visual tracking
M. Danelljan, G. Hager, F. Shahbaz Khan, and M. Felsberg · 2015
Cited alongside, same era.
Learning spatially regularized correlation filters for visual tracking
M. Danelljan, G. Hager, F. Shahbaz Khan, and M. Felsberg · 2015
Cited alongside, same era.
High-speed tracking with kernelized correlation filters
J. F. Henriques, R. Caseiro, P. Martins, and J. Batista · 2015
Cited alongside, same era.
Online tracking by learning discriminative saliency map with convolutional neural network
S. Hong, T. You, S. Kwak, and B. Han · 2015
Cited alongside, same era.
Object tracking via dual linear structured svm and explicit feature map
J. Ning, J. Yang, S. Jiang, L. Zhang, and M.-H. Yang
Cited in the paper.
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Beyond correlation filters: learning continuous convolution operators for visual tracking
M. Danelljan, A. Robinson, F. S. Khan, and M. Felsberg · 2016
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Hedged deep tracking
Y. Qi, S. Zhang, L. Qin, H. Yao, Q. Huang, and J. L. M.-H. Yang · 2016
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Siamese instance search for tracking
R. Tao, E. Gavves, and A. W. M. Smeulders · 2016
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Stct: Sequentially training convolutional networks for visual tracking
L. Wang, W. Ouyang, X. Wang, and H. Lu · 2016
Later among the works it cites.
Learning support correlation filters for visual tracking
W. Zuo, X. Wu, L. Lin, L. Zhang, and M.-H. Yang · 2016
Later among the works it cites.