A multi-view model for visual tracking via correlation filters
Tài liệu tham khảo
Wu, 2013, Online object tracking: a benchmark, 2411
Matthews, 2004, The template update problem, IEEE Trans. Patt. Anal. Mach. Intell., 26, 810, 10.1109/TPAMI.2004.16
Lim, 2008, Incremental learning for robust visual tracking, Int. J. Comput. Vision, 77, 125
Mei, 2009, Robust visual tracking using l1 minimization, 1436
Yi, 2015, Single object tracking via robust combination of particle filter and sparse representation, 110, 178
You, 2014, A robust local sparse tracker with global consistency constraint, 111, 308
He, 2016, Robust object tracking via key patch sparse representation, IEEE Trans. Cybern., PP, 1
Li, 2014, A novel joint tracker based on occlusion detection, Knowl.-Based Syst., 71, 409, 10.1016/j.knosys.2014.08.019
You, 2006, Thinning character using modulus minima of wavelet transform, Int. J. Patt. Recognit. Artif. Intell., 20, 361, 10.1142/S0218001406004764
Huang, 2010, Rotation invariant iris feature extraction using gaussian markov random fields with non-separable wavelet, Neurocomputing, 73, 883, 10.1016/j.neucom.2009.09.016
Danelljan, 2014, Adaptive color attributes for real-time visual tracking, 1090
Henriques, 2015, High-speed tracking with kernelized correlation filters, IEEE Trans. Patt. Anal. Mach. Intell., 37, 583, 10.1109/TPAMI.2014.2345390
Ma, 2015, Long-term correlation tracking, 5388
Collins, 2005, Online selection of discriminative tracking features, IEEE Trans. Patt. Anal. Mach. Intell., 27, 1631, 10.1109/TPAMI.2005.205
Avidan, 2004, Support vector tracking, IEEE Trans. Patt. Anal. Mach. Intell., 26, 1064, 10.1109/TPAMI.2004.53
Grabner, 2006, Real-time tracking via on-line boosting, 1, 6
Babenko, 2011, Robust object tracking with online multiple instance learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 33, 1619, 10.1109/TPAMI.2010.226
Hare, 2011, Struck: Structured output tracking with kernels, 263
Kalal, 2010, Pn learning: Bootstrapping binary classifiers by structural constraints, 49
You, 2011, Segmentation of retinal blood vessels using the radial projection and semi-supervised approach, Patt. Recognit., 44, 2314, 10.1016/j.patcog.2011.01.007
Pan, 2013, Generalization performance of magnitude-preserving semi-supervised ranking with graph-based regularization, Inf. Sci., 221, 284, 10.1016/j.ins.2012.09.003
Ou, 2014, Robust face recognition via occlusion dictionary learning, Patt. Recognit., 47, 1559, 10.1016/j.patcog.2013.10.017
Zhong, 2014, Robust object tracking via sparse collaborative appearance model, IEEE Trans. Image Process., 23, 2356, 10.1109/TIP.2014.2313227
Yin, 2015, Online state-based structured svm combined with incremental pca for robust visual tracking, IEEE Trans. Cybern., 45, 1988, 10.1109/TCYB.2014.2363078
Chen, 2016, Discriminative local collaborative representation for online object tracking, Knowl.-Based Syst., 100, 13, 10.1016/j.knosys.2016.01.041
Yoon, 2012, Visual tracking via adaptive tracker selection with multiple features, 28
Lan, 2014, Multi-cue visual tracking using robust feature-level fusion based on joint sparse representation, 1194
Kwon, 2010, Visual tracking decomposition, 1269
Lopes, 2013, Hierarchical fuzzy logic based approach for object tracking, Knowl.-Based Syst., 54, 255, 10.1016/j.knosys.2013.09.014
Zhong, 2012, Robust object tracking via sparsity-based collaborative model, 1838
Yoon, 2016, Interacting multiview tracker, IEEE Trans. Patt. Anal. Mach. Intell., 38, 903, 10.1109/TPAMI.2015.2473862
Zhang, 2016, A robust and fast partitioning algorithm for extended target tracking using a gaussian inverse wishart phd filter, Knowl.-Based Syst., 95, 125, 10.1016/j.knosys.2015.12.008
He, 2015, One global optimization method in network flow model for multiple object tracking, Knowl.-Based Syst., 86, 21, 10.1016/j.knosys.2015.04.018
He, 2016, Connected component model for multi-object tracking, IEEE Trans. Image Process., 25, 3698, 10.1109/TIP.2016.2570553
Collins, 2003, Mean-shift blob tracking through scale space, 2
Ma, 2016, Visual tracking via exemplar regression model, Knowl.-Based Syst., 106, 26, 10.1016/j.knosys.2016.05.028
Bolme, 2010, Visual object tracking using adaptive correlation filters, 2544
C. Xu, D. Tao, C. Xu, A survey on multi-view learning, arXiv preprint arXiv:1304.5634(2013).
Kristan, 2014, The visual object tracking vot2014 challenge results, 191
Kristan, 2015, 564
Hong, 2013, Tracking via robust multi-task multi-view joint sparse representation, 649
Dalal, 2005, Histograms of oriented gradients for human detection, 1, 886
Van De Weijer, 2009, Learning color names for real-world applications, IEEE Trans. Image Process., 18, 1512, 10.1109/TIP.2009.2019809
Cehovin, 2014, Is my new tracker really better than yours?, 540
Everingham, 2010, The pascal visual object classes (voc) challenge, Int. J. Comput. Vision(IJCV), 88, 303, 10.1007/s11263-009-0275-4
Jia, 2012, Visual tracking via adaptive structural local sparse appearance model, 1822
Danelljan, 2014, Accurate scale estimation for robust visual tracking
Nebehay, 2014, Consensus-based matching and tracking of keypoints for object tracking, 862
Yi, 2013, Initialization-insensitive visual tracking through voting with salient local features, 2912
Cehovin, 2013, Robust visual tracking using an adaptive coupled-layer visual model, IEEE Trans. Patt. Anal. Mach. Intell., 35, 941, 10.1109/TPAMI.2012.145
Nam, 2014, Online graph-based tracking, 112
Duffner, 2013, Pixeltrack: a fast adaptive algorithm for tracking non-rigid objects, 2480
Zhang, 2012, Real-time compressive tracking, 864
Zhang, 2014, Meem: robust tracking via multiple experts using entropy minimization, 188
Hong, 2015, Multi-store tracker (muster): A cognitive psychology inspired approach to object tracking, 749
Gao, 2014, Transfer learning based visual tracking with gaussian processes regression, 188