16.6.2.3 Learning in Target Tracking Techniques, Motion Model

Chapter Contents (Back)
Target Tracking. Motion Prediction. See also Mean-Shift Tracking Techniques. See also Target Tracking Techniques, Filter Techniques. See also Target Tracking Techniques, Motion Model, Prediction, Control.

Rahimi, A.[Ali], Recht, B.[Ben], Darrell, T.J.[Trevor J.],
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., Yang, M., 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.[Yuwei], 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.[Yuwei], 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 tracking,
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.[Dawei], 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.[Dawei], 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

Liu, Q.[Qi], Zhao, X.G.[Xiao-Guang], Hou, Z.G.[Zeng-Guang],
Survey of single-target visual tracking methods based on online learning,
IET-CV(8), No. 5, October 2014, pp. 419-428.
DOI Link 1412
learning (artificial intelligence) 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

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.[Zexi], 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.[Jongwoo], Yang, M.H.[Ming-Hsuan],
Hedged Deep Tracking,
CVPR16(4303-4311)
IEEE DOI 1612
BibRef

Li, Q., Zhao, X., Huang, K.,
Learning temporally correlated representations using LSTMS for visual tracking,
ICIP16(1614-1618)
IEEE DOI 1610
Correlation 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.[Baojie], Sun, J.[Jing], Cong, Y.[Yang], Du, Y.[Yingkui],
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

Fiaschi, L.[Luca], Diego, F.[Ferran], Gregor, K.[Konstantin], Schiegg, M.[Martin], Koethe, U.[Ullrich], Zlatic, M.[Marta], Hamprecht, F.A.[Fred A.],
Tracking Indistinguishable Translucent Objects over Time Using Weakly Supervised Structured Learning,
CVPR14(2736-2743)
IEEE DOI 1409
latent variables 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 .


Last update:Oct 15, 2018 at 09:19:25