16.6.2.3.6 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

Nickels, K.M.[Kevin M.], Hutchinson, S.A.[Seth A.],
Model-Based Tracking of Complex Articulated Objects,
RA(17), No. 1, February 2001, pp. 28-36. BibRef 0102

Nickels, K.M.[Kevin M.],
Model Based Tracking of Articulated Objects,
Ph.D.Thesis, August 1998. BibRef 9808 UIUC 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

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., Grń▀l, 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., Grń▀l, 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.[JirÝ 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

MikulÝk, A.[Andrej], Radenovic, F.[Filip], Chum, O.[Ondrej], Matas, J.[JirÝ],
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.[Wenhan], 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.,
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

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.[Wenhan], 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., FalcŃo, 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.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

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.[Dandan], 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.[Dandan], 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.[Yanning], 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


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.[Bj÷rn], 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

Mu˝oz, E.[Enrique], Buenaposada, J.M.[JosÚ 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.[JosÚ Miguel], del Bue, A., Mu˝oz, 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.[JosÚ Miguel], Mu˝oz, 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:Sep 25, 2017 at 16:36:46