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Learning to Transform Time Series with a Few Examples,
PAMI(29), No. 10, October 2007, pp. 1759-1775.
IEEE DOI
0710
BibRef
Earlier:
Learning Appearance Manifolds from Video,
CVPR05(I: 868-875).
IEEE DOI
0507
BibRef
And:
Nonlinear Latent Variable Models for Video Sequences,
CSAIL-2005-041, June 2005.
WWW Link. semi-supervised regression.
E.g. time series of observations to time series of poses.
BibRef
Kim, M.Y.[Min-Young],
Pavlovic, V.[Vladimir],
Discriminative Learning for Dynamic State Prediction,
PAMI(31), No. 10, October 2009, pp. 1847-1861.
IEEE DOI
0909
BibRef
Earlier:
Conditional State Space Models for Discriminative Motion Estimation,
ICCV07(1-8).
IEEE DOI
0710
BibRef
And:
Discriminative Learning of Dynamical Systems for Motion Tracking,
CVPR07(1-8).
IEEE DOI
0706
BibRef
Earlier:
Discriminative Learning of Mixture of Bayesian Network Classifiers for
Sequence Classification,
CVPR06(I: 268-275).
IEEE DOI
0606
See also Structured Output Ordinal Regression for Dynamic Facial Emotion Intensity Prediction.
BibRef
Cohen, A.[Andre],
Pavlovic, V.[Vladimir],
Reinforcement Learning for Robust and Efficient Real-World Tracking,
ICPR10(2989-2992).
IEEE DOI
1008
BibRef
Kim, M.Y.[Min-Young],
Discriminative semi-supervised learning of dynamical systems for motion
estimation,
PR(44), No. 10-11, October-November 2011, pp. 2325-2333.
Elsevier DOI
1101
Semi-supervised learning; Linear dynamical systems; Motion estimation;
Discriminative learning
BibRef
Kim, M.Y.[Min-Young],
Greedy approaches to semi-supervised subspace learning,
PR(48), No. 4, 2015, pp. 1563-1570.
Elsevier DOI
1502
Dimensionality reduction
BibRef
Zha, Y.F.[Yu-Fei],
Yang, Y.[Yuan],
Bi, D.Y.[Du-Yan],
Graph-based transductive learning for robust visual tracking,
PR(43), No. 1, January 2010, pp. 187-196,.
Elsevier DOI
0909
Object tracking; Graph Laplacian; Transductive learning
See also Learning complex background by multi-scale discriminative model.
BibRef
Jiang, N.[Nan],
Liu, W.Y.[Wen-Yu],
Wu, Y.[Ying],
Learning Adaptive Metric for Robust Visual Tracking,
IP(20), No. 8, August 2011, pp. 2288-2300.
IEEE DOI
1108
See also Automatic video-based analysis of animal behaviors.
BibRef
Jiang, N.[Nan],
Wu, Y.[Ying],
Unifying Spatial and Attribute Selection for Distracter-Resilient
Tracking,
CVPR14(3502-3509)
IEEE DOI
1409
attribute adjustment;spatial adjustment;visual tracking
BibRef
Wu, Y.,
Ma, B.,
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Zhang, J.,
Jia, Y.D.[Yun-De],
Metric Learning Based Structural Appearance Model for Robust Visual
Tracking,
CirSysVideo(24), No. 5, May 2014, pp. 865-877.
IEEE DOI
1405
Dictionaries
BibRef
Yang, M.[Min],
Wu, Y.W.[Yu-Wei],
Jia, Y.D.[Yun-De],
A Hybrid Data Association Framework for Robust Online Multi-Object
Tracking,
IP(26), No. 12, December 2017, pp. 5667-5679.
IEEE DOI
1710
object tracking, sensor fusion,
Streaming media, Target tracking, Trajectory,
Multi-object tracking, data association, multi-commodity flow, optimization
BibRef
Yang, M.[Min],
Wu, Y.W.[Yu-Wei],
Pei, M.T.[Ming-Tao],
Ma, B.[Bo],
Jia, Y.D.[Yun-De],
Online Discriminative Tracking With Active Example Selection,
CirSysVideo(26), No. 7, July 2016, pp. 1279-1292.
IEEE DOI
1608
BibRef
Earlier:
Coupling Semi-supervised Learning and Example Selection for Online
Object Tracking,
ACCV14(IV: 476-491).
Springer DOI
1504
image classification
See also Robust Discriminative Tracking via Landmark-Based Label Propagation.
BibRef
Jiang, N.[Nan],
Liu, W.Y.[Wen-Yu],
Wu, Y.[Ying],
Order determination and sparsity-regularized metric learning adaptive
visual tracking,
CVPR12(1956-1963).
IEEE DOI
1208
BibRef
Earlier:
Adaptive and discriminative metric differential tracking,
CVPR11(1161-1168).
IEEE DOI
1106
BibRef
Jiang, N.[Nan],
Liu, W.Y.[Wen-Yu],
Data-Driven Spatially-Adaptive Metric Adjustment for Visual Tracking,
IP(23), No. 4, April 2014, pp. 1556-1568.
IEEE DOI
1404
image matching
BibRef
Jiang, N.[Nan],
Su, H.[Heng],
Liu, W.Y.[Wen-Yu],
Wu, Y.[Ying],
Discriminative Metric Preservation for Tracking Low-Resolution Targets,
IP(21), No. 3, March 2012, pp. 1284-1297.
IEEE DOI
1203
BibRef
Earlier: A1, A3, A2, A4:
Tracking low resolution objects by metric preservation,
CVPR11(1329-1336).
IEEE DOI
1106
BibRef
Zhang, S.P.[Sheng-Ping],
Yao, H.X.[Hong-Xun],
Sun, X.[Xin],
Lu, X.S.[Xiu-Sheng],
Sparse coding based visual tracking: Review and experimental comparison,
PR(46), No. 7, July 2013, pp. 1772-1788.
Elsevier DOI
1303
Visual tracking; Appearance modeling; Sparse coding; Sparse
representation; Dictionary learning
BibRef
Sun, X.[Xin],
Yao, H.X.[Hong-Xun],
Lu, X.S.[Xiu-Sheng],
Dynamic multi-cue tracking using particle filter,
SIViP(8), No. S1, December 2014, pp. 95-101.
WWW Link.
1411
BibRef
Lu, X.S.[Xiu-Sheng],
Yao, H.X.[Hong-Xun],
Sun, X.[Xin],
Jiang, X.S.[Xue-Song],
Real-time visual tracking using L2 norm regularization based
collaborative representation,
ICIP13(3934-3938)
IEEE DOI
1402
l2 regularization
BibRef
Sun, Z.Q.[Zhong-Qian],
Yao, H.X.[Hong-Xun],
Zhang, S.P.[Sheng-Ping],
Sun, X.[Xin],
Robust visual tracking via context objects computing,
ICIP11(509-512).
IEEE DOI
1201
BibRef
Jennings, A.L.,
Ordonez, R.,
Unbounded Motion Optimization by Developmental Learning,
Cyber(43), No. 4, 2013, pp. 1178-1188.
IEEE DOI
1307
Complexity theory
BibRef
Ning, J.F.[Ji-Feng],
Shi, W.Z.[Wu-Zhen],
Yang, S.Q.[Shu-Qin],
Yanne, P.[Paul],
Visual tracking based on Distribution Fields and online weighted
multiple instance learning,
IVC(31), No. 11, 2013, pp. 853-863.
Elsevier DOI
1311
Distribution Fields
BibRef
Ning, J.F.[Ji-Feng],
Shi, W.Z.[Wu-Zhen],
Yang, S.Q.[Shu-Qin],
Yanne, P.,
Improved appearance updating method in multiple instance learning
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IET-CV(8), No. 2, April 2014, pp. 118-130.
DOI Link
1407
image colour analysis
BibRef
Wen, L.Y.[Long-Yin],
Cai, Z.W.[Zhao-Wei],
Lei, Z.[Zhen],
Yi, D.[Dong],
Li, S.Z.[Stan Z.],
Robust Online Learned Spatio-Temporal Context Model for Visual
Tracking,
IP(23), No. 2, February 2014, pp. 785-796.
IEEE DOI
1402
BibRef
Earlier:
Online Spatio-temporal Structural Context Learning for Visual Tracking,
ECCV12(IV: 716-729).
Springer DOI
1210
Markov processes
BibRef
Wen, L.Y.[Long-Yin],
Cai, Z.W.[Zhao-Wei],
Du, D.W.[Da-Wei],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Learning Discriminative Hidden Structural Parts for Visual Tracking,
FSLCV14(III: 262-276).
Springer DOI
1504
BibRef
Li, W.B.[Wen-Bo],
Wen, L.Y.[Long-Yin],
Chuah, M.C.[Mooi Choo],
Zhang, Y.[Yi],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Online Visual Tracking Using Temporally Coherent Part Cluster,
WACV15(9-16)
IEEE DOI
1503
Color; Deformable models; Robustness; Target tracking; Trajectory
BibRef
Wen, L.Y.[Long-Yin],
Li, W.[Wenbo],
Yan, J.J.[Jun-Jie],
Lei, Z.[Zhen],
Yi, D.[Dong],
Li, S.Z.[Stan Z.],
Multiple Target Tracking Based on Undirected Hierarchical Relation
Hypergraph,
CVPR14(1282-1289)
IEEE DOI
1409
Multi-target tracking
BibRef
Wen, L.Y.[Long-Yin],
Du, D.W.[Da-Wei],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Yang, M.H.[Ming-Hsuan],
JOTS: Joint Online Tracking and Segmentation,
CVPR15(2226-2234)
IEEE DOI
1510
BibRef
Wen, L.Y.[Long-Yin],
Cai, Z.W.[Zhao-Wei],
Yang, M.L.[Meng-Long],
Lei, Z.[Zhen],
Yi, D.[Dong],
Li, S.Z.[Stan Z.],
Online Multiple Instance Joint Model for Visual Tracking,
AVSS12(319-324).
IEEE DOI
1211
BibRef
Cai, Z.W.[Zhao-Wei],
Wen, L.Y.[Long-Yin],
Lei, Z.[Zhen],
Vasconcelos, N.M.,
Li, S.Z.,
Robust Deformable and Occluded Object Tracking With Dynamic Graph,
IP(23), No. 12, December 2014, pp. 5497-5509.
IEEE DOI
1412
Markov processes
BibRef
Cai, Z.W.[Zhao-Wei],
Wen, L.Y.[Long-Yin],
Yang, J.W.[Jian-Wei],
Lei, Z.[Zhen],
Li, S.Z.[Stan Z.],
Structured Visual Tracking with Dynamic Graph,
ACCV12(III:86-97).
Springer DOI
1304
BibRef
Marras, I.[Ioannis],
Tzimiropoulos, G.[Georgios],
Zafeiriou, S.P.[Stefanos P.],
Pantic, M.[Maja],
Online learning and fusion of orientation appearance models for
robust rigid object tracking,
IVC(32), No. 10, 2014, pp. 707-727.
Elsevier DOI
1410
BibRef
Earlier:
With A2:
Medina, J.A.,
FG13(1-8)
IEEE DOI
1309
Rigid object tracking
gradient methods
BibRef
Liwicki, S.[Stephan],
Zafeiriou, S.P.[Stefanos P.],
Tzimiropoulos, G.[Georgios],
Pantic, M.[Maja],
Fast and robust appearance-based tracking,
FG11(507-513).
IEEE DOI
1103
robust estimation of large translational displacements
BibRef
Jang, S.I.[Se-In],
Choi, K.[Kwontaeg],
Toh, K.A.[Kar-Ann],
Teoh, A.B.J.[Andrew Beng Jin],
Kim, J.H.[Jai-Hie],
Object Tracking Based on an Online Learning Network with Total Error
Rate Minimization,
PR(48), No. 1, 2015, pp. 126-139.
Elsevier DOI
1410
Object tracking
BibRef
Khim, S.[Sarang],
Hong, S.J.[Sung-Jin],
Kim, Y.Y.[Yoon-Young],
Rhee, P.K.[Phill Kyu],
Adaptive visual tracking using the prioritized Q-learning algorithm:
MDP-based parameter learning approach,
IVC(32), No. 12, 2014, pp. 1090-1101.
Elsevier DOI
1412
Adaptive visual tracking
BibRef
Zhang, S.L.[Shun-Li],
Sui, Y.[Yao],
Zhao, S.C.[Si-Cong],
Yu, X.[Xin],
Zhang, L.[Li],
Multi-local-task learning with global regularization for object
tracking,
PR(48), No. 12, 2015, pp. 3881-3894.
Elsevier DOI
1509
Object tracking
BibRef
Bao, F.[Feng],
Cao, Y.[Yifei],
Zhang, S.L.[Shun-Li],
Lin, B.B.[Bei-Bei],
Zhao, S.C.[Si-Cong],
Using Segmentation With Multi-Scale Selective Kernel for Visual
Object Tracking,
SPLetters(29), 2022, pp. 553-557.
IEEE DOI
2202
Target tracking, Feature extraction, Kernel, Object tracking,
Benchmark testing, Annotations, Convolution, Feature selection,
video segmentation
BibRef
Sui, Y.[Yao],
Zhang, S.L.[Shun-Li],
Zhang, L.[Li],
Robust Visual Tracking via Sparsity-Induced Subspace Learning,
IP(24), No. 12, December 2015, pp. 4686-4700.
IEEE DOI
1512
image representation
See also Robust Tracking via Locally Structured Representation.
BibRef
Cong, Y.,
Fan, B.,
Liu, J.,
Luo, J.B.[Jie-Bo],
Yu, H.,
Speeded Up Low-Rank Online Metric Learning for Object Tracking,
CirSysVideo(25), No. 6, June 2015, pp. 922-934.
IEEE DOI
1506
Computational complexity
BibRef
Cong, Y.[Yang],
Liu, J.[Ji],
Yuan, J.S.[Jun-Song],
Luo, J.B.[Jie-Bo],
Self-Supervised Online Metric Learning With Low Rank
Constraint for Scene Categorization,
IP(22), No. 8, 2013, pp. 3179-3191.
IEEE DOI
1307
graph theory; online learning; semi-supervised learning
BibRef
Cong, Y.[Yang],
Yuan, J.S.[Jun-Song],
Tang, Y.D.[Yan-Dong],
Object tracking via online metric learning,
ICIP12(417-420).
IEEE DOI
1302
BibRef
Kuen, J.[Jason],
Lim, K.M.[Kian Ming],
Lee, C.P.[Chin Poo],
Self-taught learning of a deep invariant representation for visual
tracking via temporal slowness principle,
PR(48), No. 10, 2015, pp. 2964-2982.
Elsevier DOI
1507
Visual tracking
BibRef
Zhan, J.[Jin],
Wu, H.F.[He-Feng],
Zhang, H.F.[Hui-Fang],
Luo, X.N.[Xiao-Nan],
Cascaded probabilistic tracking with supervised dictionary learning,
SP:IC(39, Part A), No. 1, 2015, pp. 212-225.
Elsevier DOI
1512
Visual tracking
BibRef
Gao, Y.F.[Yue-Fang],
Shan, X.[Xin],
Hu, Z.X.[Ze-Xi],
Wang, D.[Dong],
Li, Y.[Ya],
Tian, X.H.[Xu-Hong],
Extended compressed tracking via random projection based on MSERs and
online LS-SVM learning,
PR(59), No. 1, 2016, pp. 245-254.
Elsevier DOI
1609
Visual tracking
BibRef
Li, X.,
Han, Z.,
Wang, L.,
Lu, H.,
Visual Tracking via Random Walks on Graph Model,
Cyber(46), No. 9, September 2016, pp. 2144-2155.
IEEE DOI
1609
Computational modeling
BibRef
Li, J.T.[Jia-Tong],
Zhao, B.J.[Bao-Jun],
Deng, C.W.[Chen-Wei],
Xu, R.Y.D.[Richard Yi Da],
Time Varying Metric Learning for visual tracking,
PRL(80), No. 1, 2016, pp. 157-164.
Elsevier DOI
1609
Metric learning
BibRef
Chen, P.G.[Peng-Guang],
Zhang, X.M.[Xing-Ming],
Mao, A.[Aihua],
Xiong, J.B.[Jian-Bin],
Visual tracking via adaptive multi-task feature learning with
calibration and identification,
SP:IC(49), No. 1, 2016, pp. 17-24.
Elsevier DOI
1609
Multi-task feature learning
BibRef
Liu, F.,
Gong, C.,
Zhou, T.,
Fu, K.,
He, X.,
Yang, J.,
Visual Tracking via Nonnegative Multiple Coding,
MultMed(19), No. 12, December 2017, pp. 2680-2691.
IEEE DOI
1712
Benchmark testing, Dictionaries, Encoding, Image reconstruction,
Robustness, Target tracking, Visualization,
visual tracking
BibRef
Liu, F.,
Zhou, T.,
Gong, C.,
Fu, K.,
Bai, L.,
Yang, J.,
Inverse Nonnegative Local Coordinate Factorization for Visual
Tracking,
CirSysVideo(28), No. 8, August 2018, pp. 1752-1764.
IEEE DOI
1808
Target tracking, Visualization, Face, Computational modeling,
Manifolds, Matrix decomposition, Biological system modeling,
visual tracking
BibRef
Liu, F.,
Zhou, T.,
Yang, J.,
Gu, I.Y.H.[Irene Yu-Hua],
Visual Tracking via Nonnegative Regularization Multiple Locality
Coding,
RSL-CV15(912-920)
IEEE DOI
1602
Bismuth
BibRef
Yun, Y.X.[Yi-Xiao],
Fu, K.[Keren],
Gu, I.Y.H.[Irene Yu-Hua],
Yang, J.[Jie],
Visual object tracking with online learning on Riemannian manifolds
by one-class support vector machines,
ICIP14(1902-1906)
IEEE DOI
1502
Covariance matrices
BibRef
Sun, C.[Chong],
Li, F.[Fu],
Lu, H.C.[Hu-Chuan],
Hua, G.[Gang],
Visual Tracking via Joint Discriminative Appearance Learning,
CirSysVideo(27), No. 12, December 2017, pp. 2567-2577.
IEEE DOI
1712
Dictionaries, Encoding, Linear programming,
Support vector machines, Target tracking, Visualization,
visual tracking
BibRef
Moujahid, D.[Driss],
Elharrouss, O.[Omar],
Tairi, H.[Hamid],
Visual object tracking via the local soft cosine similarity,
PRL(110), 2018, pp. 79-85.
Elsevier DOI
1806
Motion analysis, Visual tracking, Soft similarity,
Soft cosine measure, observation model, motion model
BibRef
Shin, H.[Hyunhak],
Ku, B.[Bonhwa],
Hong, W.[Wooyoung],
Ko, H.S.[Han-Seok],
Accurate Target Motion Analysis from a Small Measurement Set Using
RANSAC,
IEICE(E101-D), No. 6, June 2018, pp. 1711-1714.
WWW Link.
1806
BibRef
Zhang, B.,
Fang, W.,
Chen, W.,
Bi, F.,
Tang, C.,
Huang, X.,
Visual Tracking Based on Cooperative Model,
FG18(614-620)
IEEE DOI
1806
Classification algorithms, Dictionaries, Encoding, Kernel,
Sparse matrices, Target tracking, Training, AdaBoost classifier,
sparse representation
BibRef
Ying, C.[Chris],
Fragkiadaki, K.[Katerina],
Depth-Adaptive Computational Policies for Efficient Visual Tracking,
EMMCVPR17(109-122).
Springer DOI
1805
BibRef
Qi, Y.K.[Yuan-Kai],
Zhang, S.P.[Sheng-Ping],
Qin, L.[Lei],
Yao, H.X.[Hong-Xun],
Huang, Q.M.[Qing-Ming],
Lim, J.W.[Jong-Woo],
Yang, M.H.[Ming-Hsuan],
Hedged Deep Tracking,
CVPR16(4303-4311)
IEEE DOI
1612
BibRef
Chen, Z.Y.[Zhao-Yun],
Luo, L.[Lei],
Wen, M.[Mei],
Zhang, C.Y.[Chun-Yuan],
Fast tracking via context depth model learning,
ICIP15(4215-4218)
IEEE DOI
1512
BibRef
Taalimi, A.,
Qi, H.R.[Hai-Rong],
Khorsandi, R.,
Online multi-modal task-driven dictionary learning and robust joint
sparse representation for visual tracking,
AVSS15(1-6)
IEEE DOI
1511
image classification
BibRef
Xu, J.Q.[Jian-Qiang],
Lu, Y.[Yao],
Liu, J.W.[Jin-Wu],
Robust tracking via weighted spatio-temporal context learning,
ICIP14(413-416)
IEEE DOI
1502
Computer vision
BibRef
Bae, S.H.[Sung-Ho],
Kim, M.C.[Mun-Churl],
Object tracking based on online partial instance learning with
multiple local strong classifiers,
ICIP14(358-362)
IEEE DOI
1502
Boosting
BibRef
Fan, B.J.[Bao-Jie],
Sun, J.[Jing],
Cong, Y.[Yang],
Du, Y.K.[Ying-Kui],
A Unified Online Dictionary Learning Framework with Label Information
for Robust Object Tracking,
ICPR14(2311-2316)
IEEE DOI
1412
Classification algorithms
BibRef
Akin, O.[Osman],
Mikolajczyk, K.[Krystian],
Online Learning and Detection with Part-Based, Circulant Structure,
ICPR14(4229-4233)
IEEE DOI
1412
Tracking with occlusions.
Correlation
BibRef
Balntas, V.[Vassileios],
Tang, L.[Lilian],
Mikolajczyk, K.[Krystian],
Improving Object Tracking with Voting from False Positive Detections,
ICPR14(1928-1933)
IEEE DOI
1412
Accuracy
BibRef
Manen, S.[Santiago],
Kwon, J.[Junseok],
Guillaumin, M.[Matthieu],
Van Gool, L.J.[Luc J.],
Appearances Can Be Deceiving:
Learning Visual Tracking from Few Trajectory Annotations,
ECCV14(V: 157-172).
Springer DOI
1408
BibRef
Kwon, J.[Junseok],
Roh, J.[Junha],
Lee, K.M.[Kyoung Mu],
Van Gool, L.J.[Luc J.],
Robust Visual Tracking with Double Bounding Box Model,
ECCV14(I: 377-392).
Springer DOI
1408
BibRef
Li, X.H.[Xiao-Hui],
Lu, H.C.[Hu-Chuan],
Object tracking based on local learning,
ICIP12(413-416).
IEEE DOI
1302
BibRef
Hong, Z.B.[Zhi-Bin],
Mei, X.[Xue],
Tao, D.C.[Da-Cheng],
Dual-Force Metric Learning for Robust Distracter-Resistant Tracker,
ECCV12(I: 513-527).
Springer DOI
1210
BibRef
Tong, M.L.[Ming-Lei],
Yan, J.C.[Jun-Chi],
Liu, H.X.[Huan-Xi],
Han, H.[Hong],
Sparse Feature Learning for Visual Tracking by Least Absolute Shrinkage
and Selection Operator,
ICIG11(766-770).
IEEE DOI
1109
BibRef
Bai, Q.X.[Qin-Xun],
Wu, Z.[Zheng],
Sclaroff, S.[Stan],
Betke, M.[Margrit],
Monnier, C.[Camille],
Randomized Ensemble Tracking,
ICCV13(2040-2047)
IEEE DOI
1403
classifier ensemble; online learning; tracking-by-detection
BibRef
Gao, M.[Meng],
Liu, H.P.[Hua-Ping],
Sun, F.C.[Fu-Chun],
Visual Tracking Using Online Semi-supervised Learning,
ICIAR11(I: 406-415).
Springer DOI
1106
BibRef
Wang, H.[Heng],
Hou, X.W.[Xin-Wen],
Liu, C.L.[Cheng-Lin],
Boosting Incremental Semi-supervised Discriminant Analysis for Tracking,
ICPR10(2748-2751).
IEEE DOI
1008
BibRef
Earlier:
Object tracking by bidirectional learning with feature selection,
ICIP09(893-896).
IEEE DOI
0911
BibRef
Cerman, L.[Lukas],
Hlavac, V.[Vaclav],
Tracking with context as a semi-supervised learning and labeling
problem,
ICPR12(2124-2127).
WWW Link.
1302
BibRef
Cerman, L.[Lukáš],
Matas, J.G.[Jirí G.],
Hlavác, V.[Václav],
Sputnik Tracker: Having a Companion Improves Robustness of the Tracker,
SCIA09(291-300).
Springer DOI
0906
BibRef
Felsberg, M.[Michael],
Larsson, F.[Fredrik],
Learning Higher-Order Markov Models for Object Tracking in Image
Sequences,
ISVC09(II: 184-195).
Springer DOI
0911
BibRef
Earlier:
Learning Bayesian tracking for motion estimation,
MLMotion08(xx-yy).
0810
BibRef
Liu, F.[Fang],
Su, J.B.[Jian-Bo],
Reinforcement learning-based feature learning for object tracking,
ICPR04(II: 748-751).
IEEE DOI
0409
BibRef
Liu, C.B.[Che-Bin],
Lin, R.S.[Ruei-Sung],
Ahuja, N.[Narendra],
Yang, M.H.[Ming-Hsuan],
Dynamic Textures Synthesis as Nonlinear Manifold Learning and
Traversing,
BMVC06(II:859).
PDF File.
0609
BibRef
Liu, C.B.[Che-Bin],
Lin, R.S.[Ruei-Sung],
Yang, M.H.[Ming-Hsuan],
Ahuja, N.[Narendra],
Levinson, S.[Stephen],
Object Tracking Using Globally Coordinated Nonlinear Manifolds,
ICPR06(I: 844-847).
IEEE DOI
0609
BibRef
Earlier: A2, A1, A3, A4, A5:
Learning Nonlinear Manifolds from Time Series,
ECCV06(II: 245-256).
Springer DOI
0608
Nonlinear dimensionality reduction.
Learning applied to temporal coherence.
BibRef
He, X.F.[Xiao-Fei],
Yan, S.C.[Shui-Cheng],
Hu, Y.X.[Yu-Xiao],
Zhang, H.J.[Hong-Jiang],
Learning a locality preserving subspace for visual recognition,
ICCV03(385-392).
IEEE DOI
0311
SVM in tracking.
BibRef
Tay, T.[Terence],
Sung, K.K.[Kah Kay],
Probabilistic Learning and Modelling of Object Dynamics for Tracking,
ICCV01(I: 648-653).
IEEE DOI
0106
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target Tracking Techniques, Filter Techniques, Correlation .