16.6.2.12.8 Target Tracking Techniques, Tests

Chapter Contents (Back)
Target Tracking.
See also Mean-Shift Tracking Techniques.

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


Zhong, R., Wang, W., Li, C., Zheng, A., Tang, J.,
Exploring Scene Geometry for Scale Adaptive Object Tracking in Surveillance Videos,
ICIP18(4113-4117)
IEEE DOI 1809
Object tracking, Videos, Predictive models, Surveillance, Target tracking, Adaptation models, Estimation, video surveillance, 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 .


Last update:Mar 16, 2024 at 20:36:19