Milstein, L.B.,
Lazicky, T.,
Statistical Tests for Image Tracking,
CGIP(7), No. 3, June 1978, pp. 413-424.
Elsevier DOI
BibRef
7806
Miller, K.S.,
Raghavan, R.,
Rochwarger, M.M.,
Invariance in Moving Target Detection,
IT(31), 1985, pp. 69-80.
BibRef
8500
Bretzner, L.[Lars],
Lindeberg, T.[Tony],
Feature Tracking with Automatic Selection of Spatial Scales,
CVIU(71), No. 3, September 1998, pp. 385-392.
DOI Link
BibRef
9809
Earlier:
SSAB96(xx).
BibRef
Earlier:
On the Handling of Spatial and Temporal Scales in Feature Tracking,
ScaleSpace97(xx).
9702
Related edge detection paper:
See also Edge Detection and Ridge Detection with Automatic Scale Selection. and
junction detection paper:
See also Junction Detection with Automatic Selection of Detection Scales and Localization Scales.
BibRef
Bretzner, L.[Lars],
Lindeberg, T.[Tony],
Qualitative Multiscale Feature Hierarchies for Object Tracking,
JVCIR(11), No. 2, June 2000, pp. 115-129.
0008
BibRef
Earlier:
ScaleSpace99(117-128).
BibRef
Nickels, K.M.[Kevin M.],
Hutchinson, S.A.[Seth A.],
Estimating uncertainty in SSD-based feature tracking,
IVC(20), No. 1, January 2002, pp. 47-58.
Elsevier DOI
0201
BibRef
Logothetis, A.[Andrew],
Krishnamurthy, V.[Vikram],
Holst, J.[Jan],
A Bayesian EM algorithm for optimal tracking of a maneuvering target in
clutter,
SP(82), No. 3, 2002, pp. 473-490.
HTML Version.
0205
BibRef
Avidan, S.[Shai],
Support Vector Tracking,
PAMI(26), No. 8, August 2004, pp. 1064-1072.
IEEE Abstract.
0407
BibRef
Earlier:
Subset selection for efficient SVM tracking,
CVPR03(I: 85-92).
IEEE DOI
0307
Integrate SVM into optic-flow tracker. Rather than minimize intensity
difference, minimize SVM classification score.
BibRef
Avidan, S.[Shai],
Ensemble Tracking,
PAMI(29), No. 2, February 2007, pp. 261-271.
IEEE DOI
0701
BibRef
Earlier:
CVPR05(II: 494-501).
IEEE DOI
0507
Tracking is a binary classification problem.
Ensemble of weak classifiers trained on foreground/background combined
into strong classifier with AdaBoost.
BibRef
Avidan, S.[Shai],
EigenSegments: A Spatio-Temporal Decomposition of an Ensemble of Images,
ECCV02(III: 747 ff.).
Springer DOI
0205
BibRef
Avidan, S.,
Joint feature-basis subset selection,
CVPR04(I: 283-290).
IEEE DOI
0408
BibRef
Singh, M.[Meghna],
Mandal, M.K.[Mrinal K.],
Basu, A.[Anup],
Gaussian and Laplacian of Gaussian weighting functions for robust
feature based tracking,
PRL(26), No. 13, 1 October 2005, pp. 1995-2005.
Elsevier DOI
0509
BibRef
Earlier:
Robust KLT tracking with Gaussian and laplacian of Gaussian weighting
functions,
ICPR04(IV: 661-664).
IEEE DOI
0409
BibRef
Collins, R.T.,
Liu, Y.X.[Yan-Xi],
Leordeanu, M.,
Online Selection of Discriminative Tracking Features,
PAMI(27), No. 10, October 2005, pp. 1631-1643.
IEEE DOI
0509
BibRef
Earlier: A1, A2 only:
ICCV03(346-352).
IEEE DOI
0311
BibRef
And:
CMU-RI-TR-03-12, April, 2003.
HTML Version.
0306
BibRef
Burceanu, E.[Elena],
Leordeanu, M.[Marius],
Learning a Robust Society of Tracking Parts Using Co-occurrence
Constraints,
VOT18(I:162-178).
Springer DOI
1905
BibRef
Rohlfing, T.,
Denzler, J.,
Russakoff, D.B.,
Maurer, Jr., C.R.,
Markerless Real-Time 3-D Target Region Tracking by Motion
Backprojection from Projection Images,
MedImg(24), No. 11, November 2005, pp. 1455-1468.
IEEE DOI
0512
BibRef
Bajramovic, F.,
Deutsch, B.,
Gräßl, C.,
Denzler, J.,
Efficient Adaptive Combination of Histograms for Real-Time Tracking,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link
0811
BibRef
Earlier: A2, A3, A1, A4:
A Comparative Evaluation of Template and Histogram Based 2D Tracking
Algorithms,
DAGM05(269).
Springer DOI
0509
BibRef
Bajramovic, F.,
Gräßl, C.,
Denzler, J.,
Efficient Combination of Histograms for Real-Time Tracking Using
Mean-Shift and Trust-Region Optimization,
DAGM05(254).
Springer DOI
0509
BibRef
Pei, S.C.,
Kuo, W.Y.,
Huang, W.T.,
Tracking Moving Objects in Image Sequences Using 1-D Trajectory Filter,
SPLetters(13), No. 1, January 2006, pp. 13-16.
IEEE DOI
0601
BibRef
Wang, H.Z.[Han-Zi],
Suter, D.[David],
Schindler, K.[Konrad],
Shen, C.H.[Chun-Hua],
Adaptive Object Tracking Based on an Effective Appearance Filter,
PAMI(29), No. 9, September 2007, pp. 1661-1667.
IEEE DOI
0709
Similarity: spatial-color mixture of Gaussians. Consider color and
spatial arrangement.
BibRef
Wang, H.Z.[Han-Zi],
Suter, D.[David],
Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues,
ICPR06(IV: 892-895).
IEEE DOI
0609
BibRef
Zhang, Z.P.[Zhi-Peng],
Menq, C.H.[Chia-Hsiang],
Three-Dimensional particle tracking with subnanometer
resolution using off-focus images,
AppOpt(47), 1 May 2008, No. 13, pp. 2361-2370.
BibRef
0805
Zhang, Z.P.[Zhi-Peng],
Menq, C.H.[Chia-Hsiang],
Best linear unbiased axial localization in three-dimensional
fluorescent bead tracking with subnanometer resolution using off-focus
images,
JOSA-A(26), No. 6, June 2009, 1484-1493.
WWW Link.
0906
Particle tracking using off focus images.
BibRef
Cheng, P.,
Menq, C.H.,
Real-Time Continuous Image Registration Enabling Ultraprecise 2-D
Motion Tracking,
IP(22), No. 5, May 2013, pp. 2081-2090.
IEEE DOI
1304
BibRef
Cech, J.C.[Jan C.],
Matas, J.G.[Jiri G.],
Perdoch, M.[Michal],
Efficient Sequential Correspondence Selection by Cosegmentation,
PAMI(32), No. 9, September 2010, pp. 1568-1581.
IEEE DOI
1008
BibRef
Earlier:
CVPR08(1-8).
IEEE DOI
0806
Feature matching, but the region changes shape a lot.
First if the SIFT matching works, and is strong, take it, otherwise look in
a larger area (grow out the feature, not larger region) and match the larger
feature.
BibRef
Obdrzalek, S.[Stepan],
Perdoch, M.[Michal],
Matas, J.G.[Jiri G.],
Dense linear-time correspondences for tracking,
VisLoc08(1-8).
IEEE DOI
0806
BibRef
Lebeda, K.[Karel],
Matas, J.G.[Jiri G.],
Bowden, R.[Richard],
Tracking the Untrackable: How to Track When Your Object Is Featureless,
DTCE12(II:347-359).
Springer DOI
1304
BibRef
Ellis, L.[Liam],
Felsberg, M.[Michael],
Bowden, R.[Richard],
Affordance Mining: Forming Perception through Action,
ACCV10(IV: 525-538).
Springer DOI
1011
Learn mapping from features to actions.
BibRef
Ellis, L.[Liam],
Matas, J.G.[Jiri G.],
Bowden, R.[Richard],
Online Learning and Partitioning of Linear Displacement Predictors for
Tracking,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Ellis, L.[Liam],
Dowson, N.D.H.[Nicholas D.H.],
Matas, J.G.[Jiri G.],
Bowden, R.[Richard],
Linear Regression and Adaptive Appearance Models for Fast Simultaneous
Modelling and Tracking,
IJCV(95), No. 2, November 2011, pp. 154-179.
WWW Link.
1109
BibRef
Earlier:
Linear Predictors for Fast Simultaneous Modeling and Tracking,
NRTL07(1-8).
IEEE DOI
0710
BibRef
Dowson, N.D.H.,
Bowden, R.,
N-tier Simultaneous Modelling and Tracking for Arbitrary Warps,
BMVC06(II:569).
PDF File.
0609
BibRef
Earlier:
Simultaneous Modeling and Tracking (SMAT) of Feature Sets,
CVPR05(II: 99-105).
IEEE DOI
0507
BibRef
Earlier:
Metric mixtures for mutual information (M3I) tracking,
ICPR04(II: 752-756).
IEEE DOI
0409
BibRef
Mikulik, A.[Andrej],
Perdoch, M.[Michal],
Chum, O.[Ondrej],
Matas, J.G.[Jirí G.],
Learning Vocabularies over a Fine Quantization,
IJCV(103), No. 1, May 2013, pp. 163-175.
Springer DOI
1305
BibRef
And:
Erratum:
IJCV(106), No. 1, January 2014, pp. 113.
Springer DOI
1402
BibRef
Earlier:
Learning a Fine Vocabulary,
ECCV10(III: 1-14).
Springer DOI
1009
BibRef
Mikulík, A.[Andrej],
Radenovic, F.[Filip],
Chum, O.[Ondrej],
Matas, J.G.[Jirí G.],
Efficient Image Detail Mining,
ACCV14(II: 118-132).
Springer DOI
1504
BibRef
Perdoch, M.[Michal],
Chum, O.[Ondrej],
Matas, J.G.[Jiri G.],
Efficient representation of local geometry for large scale object
retrieval,
CVPR09(9-16).
IEEE DOI
0906
BibRef
And: A2, A1, A3:
Geometric min-Hashing: Finding a (thick) needle in a haystack,
CVPR09(17-24).
IEEE DOI
0906
BibRef
Gai, J.D.,
Stevenson, R.L.,
Studentized Dynamical System for Robust Object Tracking,
IP(20), No. 1, January 2011, pp. 186-199.
IEEE DOI
1101
BibRef
Gai, J.D.[Jia-Ding],
Li, Y.[Yong],
Stevenson, R.L.[Robert L.],
Coupled Hidden Markov Models for Robust EO/IR Target Tracking,
ICIP07(I: 41-44).
IEEE DOI
0709
BibRef
Hu, W.M.[Wei-Ming],
Li, X.[Xi],
Zhang, X.Q.[Xiao-Qin],
Shi, X.C.[Xin-Chu],
Maybank, S.J.[Stephen J.],
Zhang, Z.F.[Zhong-Fei],
Incremental Tensor Subspace Learning and Its Applications to Foreground
Segmentation and Tracking,
IJCV(91), No. 3, February 2011, pp. 303-327.
WWW Link.
1102
BibRef
Hu, W.M.[Wei-Ming],
Li, X.[Xi],
Luo, W.H.[Wen-Han],
Zhang, X.Q.[Xiao-Qin],
Maybank, S.J.[Stephen J.],
Zhang, Z.F.[Zhong-Fei],
Single and Multiple Object Tracking Using Log-Euclidean Riemannian
Subspace and Block-Division Appearance Model,
PAMI(34), No. 12, December 2012, pp. 2420-2440.
IEEE DOI
1210
BibRef
Hu, W.M.[Wei-Ming],
Li, W.,
Zhang, X.Q.[Xiao-Qin],
Maybank, S.J.[Stephen J.],
Single and Multiple Object Tracking Using a Multi-Feature Joint
Sparse Representation,
PAMI(37), No. 4, April 2015, pp. 816-833.
IEEE DOI
1503
Adaptation models
See also Multiple Object Tracking Via Species-Based Particle Swarm Optimization.
BibRef
Hu, W.M.[Wei-Ming],
Tian, G.D.[Guo-Dong],
Kang, Y.X.[Yong-Xin],
Yuan, C.F.[Chun-Feng],
Maybank, S.J.[Stephen J.],
Dual Sticky Hierarchical Dirichlet Process Hidden Markov Model and
Its Application to Natural Language Description of Motions,
PAMI(40), No. 10, October 2018, pp. 2355-2373.
IEEE DOI
1809
Trajectory, Hidden Markov models, Natural languages, Bayes methods,
Analytical models, Semantics, Visualization, HDP-HMM, sticky prior,
natural language description
BibRef
Tian, G.D.[Guo-Dong],
Yuan, C.F.[Chun-Feng],
Hu, W.M.[Wei-Ming],
Hu, R.G.[Rui-Guang],
Discovering and Describing Activities by Trajectory Analysis,
ACPR13(652-656)
IEEE DOI
1408
data mining
BibRef
Tian, G.D.[Guo-Dong],
Yuan, C.F.[Chun-Feng],
Hu, W.M.[Wei-Ming],
Cai, Z.Q.[Zhao-Quan],
Mining activities using sticky multimodal dual hierarchical Dirichlet
process hidden Markov model,
ICIP13(98-102)
IEEE DOI
1402
Bayes methods
BibRef
Li, X.[Xi],
Hu, W.M.[Wei-Ming],
Zhang, Z.F.[Zhong-Fei],
Zhang, X.Q.[Xiao-Qin],
Zhu, M.L.[Ming-Liang],
Cheng, J.[Jian],
Visual tracking via incremental Log-Euclidean Riemannian subspace
learning,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Li, X.[Xi],
Hu, W.M.[Wei-Ming],
Zhang, Z.F.[Zhong-Fei],
Zhang, X.Q.[Xiao-Qin],
Robust Visual Tracking Based on an Effective Appearance Model,
ECCV08(IV: 396-408).
Springer DOI
0810
BibRef
Li, X.[Xi],
Hu, W.M.[Wei-Ming],
Zhang, Z.F.[Zhong-Fei],
Zhang, X.Q.[Xiao-Qin],
Luo, G.[Guan],
Robust Visual Tracking Based on Incremental Tensor Subspace Learning,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Li, W.[Wei],
Zhang, X.Q.[Xiao-Qin],
Luo, W.H.[Wen-Han],
Hu, W.M.[Wei-Ming],
Ling, H.B.[Hai-Bin],
Wu, O.[Ou],
Robust object tracking with boosted discriminative model via graph
embedding,
VS11(1666-1672).
IEEE DOI
1201
BibRef
Zhang, X.Q.[Xiao-Qin],
Hu, W.M.[Wei-Ming],
Bao, H.J.[Hu-Jun],
Maybank, S.J.,
Robust Head Tracking Based on Multiple Cues Fusion in the
Kernel-Bayesian Framework,
CirSysVideo(23), No. 7, 2013, pp. 1197-1208.
IEEE DOI
1307
Bayes methods
BibRef
Zhang, X.Q.[Xiao-Qin],
Hu, W.M.[Wei-Ming],
Maybank, S.J.[Steve J.],
Li, X.[Xi],
Graph Based Discriminative Learning for Robust and Efficient Object
Tracking,
ICCV07(1-8).
IEEE DOI
PDF File.
0710
BibRef
Zhang, X.Q.[Xiao-Qin],
Hu, W.M.[Wei-Ming],
Xie, N.H.[Nian-Hua],
Bao, H.J.[Hu-Jun],
Maybank, S.J.[Stephen J.],
A Robust Tracking System for Low Frame Rate Video,
IJCV(115), No. 3, December 2015, pp. 279-304.
Springer DOI
1512
BibRef
Earlier:
Erratum:
IJCV(115), No. 3, December 2015, pp. 305.
Springer DOI
1512
BibRef
Zhang, X.Q.[Xiao-Qin],
Hu, W.M.[Wei-Ming],
Luo, G.[Guan],
Maybank, S.J.[Steve J.],
Kernel-Bayesian Framework for Object Tracking,
ACCV07(I: 821-831).
Springer DOI
0711
BibRef
Ma, L.[Lin],
Hu, W.M.[Wei-Ming],
Zhang, X.Q.[Xiao-Qin],
Multiple sample group pairs' graph embedding for tracking,
ICIP12(385-388).
IEEE DOI
1302
BibRef
Wu, Y.[Yi],
Cheng, J.[Jian],
Wang, J.Q.[Jin-Qiao],
Lu, H.Q.[Han-Qing],
Real-time Visual Tracking via Incremental Covariance Tensor Learning,
ICCV09(1631-1638).
IEEE DOI
0909
BibRef
Makris, A.[Alexandros],
Kosmopoulos, D.I.[Dimitrios I.],
Perantonis, S.J.[Stavros J.],
Theodoridis, S.[Sergios],
A hierarchical feature fusion framework for adaptive visual tracking,
IVC(29), No. 9, August 2011, pp. 594-606.
Elsevier DOI
1109
BibRef
Earlier:
Hierarchical Feature Fusion for Visual Tracking,
ICIP07(VI: 289-292).
IEEE DOI
0709
Visual tracking; Particle filter; Sequential Monte-Carlo
BibRef
Kosmopoulos, D.I.[Dimitrios I.],
Makedon, F.[Fillia],
A Method for Online Analysis of Structured Processes Using Bayesian
Filters and Echo State Networks,
ARTEMIS12(III: 71-80).
Springer DOI
1210
BibRef
Minetto, R.,
Spina, T.V.,
Falcão, A.X.,
Leite, N.J.,
Papa, J.P.,
Stolfi, J.,
IFTrace: Video segmentation of deformable objects using the Image
Foresting Transform,
CVIU(116), No. 2, February 2012, pp. 274-291.
Elsevier DOI
1201
BibRef
Earlier: A1, A5, A2, A3, A4, A6:
Fast and Robust Object Tracking Using Image Foresting Transform,
WSSIP09(1-4).
IEEE DOI
0906
Segmentation/tracking of moving objects; Object delineation;
Image/video segmentation; Image Foresting Transform; Graph-based image
segmentation
BibRef
Minetto, R.[Rodrigo],
Leite, N.J.[Neucimar J.],
Stolfi, J.[Jorge],
AffTrack: Robust tracking of features in variable-zoom videos,
ICIP09(4285-4288).
IEEE DOI
0911
BibRef
Kapoor, R.,
Dhamija, A.,
Fast tracking algorithm using modified potential function,
IET-CV(6), No. 2, 2012, pp. 111-120.
DOI Link
1204
BibRef
Hersch, M.[Micha],
Billard, A.[Aude],
Bergmann, S.[Sven],
Iterative Estimation of Rigid-Body Transformations:
Application to Robust Object Tracking and Iterative Closest Point,
JMIV(43), No. 1, May 2012, pp. 1-9.
WWW Link.
1204
BibRef
Zhang, K.H.[Kai-Hua],
Zhang, L.[Lei],
Yang, M.H.[Ming-Hsuan],
Hu, Q.H.[Qing-Hua],
Robust Object Tracking Via Active Feature Selection,
CirSysVideo(23), No. 11, 2013, pp. 1957-1967.
IEEE DOI
1312
learning (artificial intelligence)
BibRef
Zhang, K.[Kaihua],
Liu, Q.S.[Qing-Shan],
Yang, J.[Jian],
Yang, M.H.[Ming-Hsuan],
Visual tracking via Boolean map representations,
PR(81), 2018, pp. 147-160.
Elsevier DOI
1806
Visual tracking, Boolean map, Logistic regression, Intersection kernel
BibRef
Zhang, K.H.[Kai-Hua],
Zhang, L.[Lei],
Yang, M.H.[Ming-Hsuan],
Real-Time Object Tracking Via Online Discriminative Feature Selection,
IP(22), No. 12, 2013, pp. 4664-4677.
IEEE DOI
1312
feature extraction
See also Fast Compressive Tracking.
See also Real-Time Visual Tracking Via Online Weighted Multiple Instance Learning.
BibRef
Wang, L.[Lu],
Xu, L.S.[Li-Sheng],
Kim, M.Y.[Min Young],
Rigazico, L.[Luca],
Yang, M.H.[Ming-Hsuan],
Online multiple object tracking via flow and convolutional features,
ICIP17(3630-3634)
IEEE DOI
1803
Correlation, Object tracking, Optical imaging, Target tracking,
Trajectory, Multiple object tracking, convolutional features,
optical flow
BibRef
Li, F.[Fu],
Lu, H.C.[Hu-Chuan],
Wang, D.[Dong],
Wu, Y.[Yi],
Zhang, K.H.[Kai-Hua],
Dual Group Structured Tracking,
CirSysVideo(26), No. 9, September 2016, pp. 1697-1708.
IEEE DOI
1609
Dictionaries
BibRef
Li, F.[Fu],
Jia, X.[Xu],
Xiang, C.[Cheng],
Lu, H.C.[Hu-Chuan],
Visual tracking with structured patch-based model,
IVC(60), No. 1, 2017, pp. 124-133.
Elsevier DOI
1704
Visual tracking
BibRef
Guo, Y.W.[Yan-Wen],
Chen, Y.[Ye],
Tang, F.[Feng],
Li, A.[Ang],
Luo, W.T.[Wei-Tao],
Liu, M.M.[Ming-Ming],
Object tracking using learned feature manifolds,
CVIU(118), No. 1, 2014, pp. 128-139.
Elsevier DOI
1312
Feature manifold
BibRef
Sun, M.H.[Ming-Hao],
Du, D.D.[Dan-Dan],
Lu, H.C.[Hu-Chuan],
Zhang, L.[Lihe],
Visual tracking with a structured local model,
ICIP15(2855-2859)
IEEE DOI
1512
Combining appearance feature and spatial information.
block-local model; geometric structure; occlusion model
BibRef
Du, D.D.[Dan-Dan],
Lu, H.C.[Hu-Chuan],
Zhang, L.[Lihe],
Li, F.[Fu],
Visual tracking via guided filter,
ICIP15(1781-1785)
IEEE DOI
1512
Visual tracking; guided filter; occlusion remove; sparse representation
BibRef
Li, A.[Ang],
Tang, F.[Feng],
Guo, Y.W.[Yan-Wen],
Tao, H.[Hai],
Discriminative Nonorthogonal Binary Subspace Tracking,
ECCV10(III: 258-271).
Springer DOI
1009
Object representation for tracking.
BibRef
Tian, X.,
Jiao, L.,
Shang, X.,
Tracking with scattering descriptor,
IET-CV(8), No. 3, June 2014, pp. 195-206.
DOI Link
1407
BibRef
Milletari, F.[Fausto],
Kehl, W.[Wadim],
Tombari, F.[Federico],
Ilic, S.[Slobodan],
Ahmadi, S.A.[Seyed-Ahmad],
Navab, N.[Nassir],
Universal Hough dictionaries for object tracking,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Chen, T.[Ting],
Zhang, Y.N.[Yan-Ning],
Yang, T.[Tao],
Sahli, H.[Hichem],
Tracking with dynamic weighted compressive model,
JVCIR(39), No. 1, 2016, pp. 253-265.
Elsevier DOI
1608
Compressive tracking
BibRef
Liu, T.[Tong],
Cao, X.C.[Xiao-Chun],
Jiang, J.M.[Jian-Min],
Visual Object Tracking With Partition Loss Schemes,
ITS(18), No. 3, March 2017, pp. 633-642.
IEEE DOI
1703
Adaptation models
BibRef
Wang, H.,
Zhang, S.,
Ge, H.,
Chen, G.,
Du, Y.,
Robust Visual Tracking via Semiadaptive Weighted Convolutional
Features,
SPLetters(25), No. 5, May 2018, pp. 670-674.
IEEE DOI
1805
entropy, feature extraction, feedforward neural nets,
object detection, object tracking, CNN,
weighted convolutional features
BibRef
Zhang, X.[Xin],
Xia, G.S.[Gui-Song],
Lu, Q.K.[Qi-Kai],
Shen, W.M.[Wei-Ming],
Zhang, L.P.[Liang-Pei],
Visual object tracking by correlation filters and online learning,
PandRS(140), 2018, pp. 77-89.
Elsevier DOI
1805
Object tracking, Correlation filters, Feature integration, Online learning
BibRef
Liu, Q.S.[Qing-Shan],
Fan, J.Q.[Jia-Qing],
Song, H.H.[Hui-Hui],
Chen, W.[Wei],
Zhang, K.H.[Kai-Hua],
Visual Tracking via Nonlocal Similarity Learning,
CirSysVideo(28), No. 10, October 2018, pp. 2826-2835.
IEEE DOI
1811
Target tracking, Visualization, Logistics, Histograms, Kernel,
Algorithm design and analysis, Nonlocal similarity learning,
logistic regression
BibRef
Wang, W.,
Wang, F.,
Guo, Y.,
A Lightweight Discriminative Tracker Based on Classification and
Similarity,
DICTA17(1-8)
IEEE DOI
1804
convolution, image classification, image representation,
image sequences, learning (artificial intelligence), neural nets,
Visualization
BibRef
Zhang, L.[Le],
Varadarajan, J.[Jagannadan],
Suganthan, P.N.[Ponnuthurai Nagaratnam],
Ahuja, N.[Narendra],
Moulin, P.[Pierre],
Robust Visual Tracking Using Oblique Random Forests,
CVPR17(5825-5834)
IEEE DOI
1711
Decision trees, Image color analysis, Robustness,
Support vector machines, Target tracking, Visualization
BibRef
Hu, W.,
Sun, Y.,
Li, X.,
Jiang, Y.,
Yu, M.,
Cam-shift target tracking approach based on back projection method
with distance weights,
ICWAPR16(252-257)
IEEE DOI
1611
Color
BibRef
van Es, S.K.[Sebastian K.],
Barfoot, T.D.[Timothy D.],
Being in Two Places at Once:
Smooth Visual Path Following on Globally Inconsistent Pose Graphs,
CRV15(54-61)
IEEE DOI
1507
Manifolds
BibRef
Zhang, J.[Ji],
Sheng, J.[Jie],
Teredesai, A.[Ankur],
Visual Tracking via Supervised Similarity Matching,
ACCV14(V: 146-161).
Springer DOI
1504
BibRef
Nebehay, G.[Georg],
Pflugfelder, R.[Roman],
Clustering of static-adaptive correspondences for deformable object
tracking,
CVPR15(2784-2791)
IEEE DOI
1510
BibRef
Earlier:
Consensus-based matching and tracking of keypoints for object
tracking,
WACV14(862-869)
IEEE DOI
1406
Adaptation models
BibRef
Kang, Z.J.[Zheng-Jian],
Wong, E.K.[Edward K.],
Parts-based multi-task sparse learning for visual tracking,
ICIP15(4022-4026)
IEEE DOI
1512
BibRef
Earlier:
Learning multi-scale sparse representation for visual tracking,
ICIP14(4897-4901)
IEEE DOI
1502
BibRef
Earlier:
A novel method for object tracking and segmentation using online
Hough forests and convex relaxation,
ICIP13(3870-3874)
IEEE DOI
1402
Multi-task learning.
Adaptation models.
Hough forests; Object tracking; convex relaxation; segmentation
BibRef
d'Arca, E.[Eleonora],
Hughes, A.[Ashley],
Robertson, N.M.[Neil M.],
Hopgood, J.[James],
Video tracking through occlusions by fast audio source localisation,
ICIP13(2660-2664)
IEEE DOI
1402
Multimodal tracking
BibRef
Delprado, A.[Anton],
Eaton, R.[Ray],
An efficient single Vote Hough tracking algorithm,
ICARCV12(1425-1430).
IEEE DOI
1304
BibRef
Wu, Y.[Yi],
Ling, H.B.[Hai-Bin],
Yu, J.Y.[Jing-Yi],
Li, F.[Feng],
Mei, X.[Xue],
Cheng, E.[Erkang],
Blurred target tracking by Blur-driven Tracker,
ICCV11(1100-1107).
IEEE DOI
1201
BibRef
Wu, Y.[Yi],
Hu, J.[Jing],
Li, F.[Feng],
Cheng, E.[Erkang],
Yu, J.Y.[Jing-Yi],
Ling, H.B.[Hai-Bin],
Kernel-Based Motion-Blurred Target Tracking,
ISVC11(II: 486-495).
Springer DOI
1109
BibRef
Nishida, K.[Kenji],
Kurita, T.[Takio],
Ogiuchi, Y.[Yasuo],
Higashikubo, M.[Masakatsu],
Visual Tracking Algorithm Using Pixel-Pair Feature,
ICPR10(1808-1811).
IEEE DOI
1008
BibRef
Liu, Y.G.[Yong-Gui],
Xu, B.G.[Bu-Gong],
Feng, L.F.[Lin-Fang],
Distributed IMM Filter Based Dynamic-Group Scheduling Scheme for
Maneuvering Target Tracking in Wireless Sensor Network,
CISP09(1-6).
IEEE DOI
0910
BibRef
Gu, X.D.[Xiao-Dong],
Yuan, Z.Y.[Zhi-Yong],
Qiu, Z.M.[Zhi-Ming],
Algorithm of Adaptive Fading Memory UKF in Bearings-Only Target
Tracking,
CISP09(1-4).
IEEE DOI
0910
BibRef
Arif, O.[Omar],
Daley, W.[Wayne],
Vela, P.A.[Patricio A.],
Teizer, J.[Jochen],
Stewart, J.[John],
Visual tracking and segmentation using Time-of-Flight sensor,
ICIP10(2241-2244).
IEEE DOI
1009
BibRef
Ndiour, I.J.[Ibrahima J.],
Arif, O.[Omar],
Teizer, J.[Jochen],
Vela, P.A.[Patricio A.],
A probabilistic shape filter for online contour tracking,
ICIP09(433-436).
IEEE DOI
0911
BibRef
Ndiour, I.J.[Ibrahima J.],
Vela, P.A.[Patricio A.],
Noise estimation and adaptive filtering during visual tracking,
ICIP09(4365-4368).
IEEE DOI
0911
BibRef
Zelniker, E.E.[Emanuel E.],
Hospedales, T.M.[Timothy M.],
Gong, S.G.[Shao-Gang],
Xiang, T.[Tao],
A Unified Bayesian Framework for Adaptive Visual Tracking,
BMVC09(xx-yy).
PDF File.
0909
BibRef
Xu, S.[Sheng],
Huo, H.[Hong],
Tao, F.[Fang],
Object Tracking Based on Time-Varying Saliency,
ISPRS08(B5: 175 ff).
PDF File.
0807
BibRef
Zach, C.[Christopher],
Gallup, D.[David],
Frahm, J.M.[Jan-Michael],
Fast gain-adaptive KLT tracking on the GPU,
CVGPU08(1-7).
IEEE DOI
0806
BibRef
Teixeira, L.[Lucas],
Loaiza, M.[Manuel],
Raposo, A.[Alberto],
Gattass, M.[Marcelo],
Augmented Reality Using Projective Invariant Patterns,
ISVC08(I: 520-529).
Springer DOI
0812
BibRef
Loaiza, M.[Manuel],
Raposo, A.[Alberto],
Gattass, M.[Marcelo],
A Novel Optical Tracking Algorithm for Point-Based Projective Invariant
Marker Patterns,
ISVC07(I: 160-169).
Springer DOI
0711
BibRef
Rasmussen, C.[Christopher],
Superpixel Analysis for Object Detection and Tracking with Application
to UAV Imagery,
ISVC07(I: 46-55).
Springer DOI
0711
BibRef
Akhriev, A.[Albert],
Object Tracking Via Uncertainty Minimization,
ISVC07(II: 592-601).
Springer DOI
0711
BibRef
Tran, S.D.[Son D.],
Davis, L.S.[Larry S.],
Robust Object Tracking with Regional Affine Invariant Features,
ICCV07(1-8).
IEEE DOI
0710
BibRef
And:
Object Tracking at Multiple Levels of Spatial Resolutions,
CIAP07(149-154).
IEEE DOI
0709
BibRef
Carminati, L.,
Benois-Pineau, J.[Jenny],
Jennewein, C.,
Knowledge-Based Supervised Learning Methods in a Classical Problem of
Video Object Tracking,
ICIP06(2385-2388).
IEEE DOI
0610
BibRef
Fan, J.L.[Jia-Lue],
Wu, Y.[Ying],
Dai, S.Y.[Sheng-Yang],
Discriminative Spatial Attention for Robust Tracking,
ECCV10(I: 480-493).
Springer DOI
1009
BibRef
Dai, S.Y.[Sheng-Yang],
Wu, Y.[Ying],
Motion from blur,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Dai, S.Y.[Sheng-Yang],
Yang, M.[Ming],
Wu, Y.[Ying],
Katsaggelos, A.K.,
Tracking Motion-Blurred Targets in Video,
ICIP06(2389-2392).
IEEE DOI
0610
BibRef
Chang, W.Y.[Wen-Yan],
Chen, C.S.[Chu-Song],
Hung, Y.P.[Yi-Ping],
Discriminative Descriptor-Based Observation Model for Visual Tracking,
ICPR06(III: 83-86).
IEEE DOI
0609
BibRef
Stenger, B.,
Woodley, T.E.,
Kim, T.K.,
Hernandez, C.,
Cipolla, R.,
AIDIA: Adaptive Interface for Display Inter Action,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Stenger, B.[Bjorn],
Woodley, T.E.[Thomas E.],
Cipolla, R.[Roberto],
Learning to track with multiple observers,
CVPR09(2647-2654).
IEEE DOI
0906
BibRef
Woodley, T.E.,
Stenger, B.,
Cipolla, R.,
Tracking Using Online Feature Selection and a Local Generative Model,
BMVC07(xx-yy).
PDF File.
0709
BibRef
Thayananthan, A.[Arasanathan],
Navaratnam, R.[Ramanan],
Stenger, B.[Björn],
Torr, P.H.S.[Philip H.S.],
Cipolla, R.[Roberto],
Multivariate Relevance Vector Machines for Tracking,
ECCV06(III: 124-138).
Springer DOI
0608
BibRef
Town, C.,
Moran, S.,
Robust Fusion of Colour Appearance Models for Object Tracking,
BMVC04(xx-yy).
HTML Version.
0508
BibRef
Liu, R.[Rong],
Li, S.Z.[Stan Z.],
Yuan, X.T.[Xiao-Tong],
He, R.[Ran],
Online Determination of Track Loss Using Template Inverse Matching,
VS08(xx-yy).
0810
Analysis of losing the track for an object.
BibRef
Yuan, X.T.[Xiao-Tong],
Li, S.Z.,
A Random Field Model for Improved Feature Extraction and Tracking,
AVSBS06(37-37).
IEEE DOI
0611
BibRef
Chen, F.[Feng],
Yuan, X.T.[Xiao-Tong],
Yang, S.T.[Shu-Tang],
Joint Feature-Spatial-Measure Space: A New approach to Highly Efficient
Probabilistic Object Tracking,
ICIP05(II: 406-409).
IEEE DOI
0512
BibRef
Yuan, X.T.[Xiao-Tong],
Yang, S.T.[Shu-Tang],
Zhu, H.W.[Hong-Wen],
Region Tracking via HMMF in Joint Feature-Spatial Space,
Motion05(II: 72-77).
IEEE DOI
0502
BibRef
Conte, D.,
Foggia, P.,
Guidobaldi, C.,
Limongiello, A.,
Vento, M.,
An Object Tracking Algorithm Combining Different Cost Functions,
ICIAR04(II: 614-622).
Springer DOI
0409
BibRef
Kang, H.B.[Hang-Bong],
Cho, S.H.[Sang-Hyun],
Short-Term Memory-Based Object Tracking,
ICIAR04(II: 597-605).
Springer DOI
0409
BibRef
Amiri, M.,
Rabiee, H.R.,
Behazin, F.,
Khansari, M.,
A new wavelet domain block matching algorithm for real-time
object tracking,
ICIP03(III: 961-964).
IEEE DOI
0312
BibRef
Yeoh, P.Y.,
Abu-Bakar, S.A.R.,
Accurate real-time object tracking with linear prediction method,
ICIP03(III: 941-944).
IEEE DOI
0312
BibRef
Muñoz, E.[Enrique],
Buenaposada, J.M.[José M.],
Baumela, L.[Luis],
Efficient Tracking of 3D Objects Using Multiple Orthogonal Cameras,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Earlier:
Efficient Model-Based 3D Tracking of Deformable Objects,
ICCV05(I: 877-882).
IEEE DOI
0510
BibRef
Buenaposada, J.M.[José Miguel],
del Bue, A.,
Muñoz, E.[Enrique],
Baumela, L.[Luis],
A Model of Brightness Variations Due to Illumination Changes and
Non-rigid Motion Using Spherical Harmonics,
BMVC08(xx-yy).
PDF File.
0809
BibRef
Buenaposada, J.M.[José Miguel],
Muñoz, E.[Enrique],
Baumela, L.[Luis],
Efficient Appearance-Based Tracking,
Non-Rigid04(6).
IEEE DOI
0502
BibRef
Earlier:
Tracking a Planar Patch by Additive Image Registration,
VLBV03(50-57).
Springer DOI
0310
BibRef
Buenaposada, J.M.,
Baumela, L.,
Speeding up SSD planar tracking by pixel selection,
ICIP02(I: 565-568).
IEEE DOI
0210
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Target and Feature Tracking, Multi-Object, Multiple Objects, Multiple Target .