16.6.2.4 Target Tracking Techniques, Motion Model, Control

Chapter Contents (Back)
Motion Prediction. Motion Model. Target Tracking. Prediction:
See also Prediction for Tracking Techniques.
See also Target Tracking Techniques, Prediction, Trajectory Based.
See also Tracklet Based Target Tracking.
See also Learning in Target Tracking Techniques, Motion Model.
See also Mean-Shift Tracking Techniques.
See also Target Tracking Techniques, Kalman Filters.
See also Target Tracking Techniques, Filter Techniques, Correlation.

Chang, C.B., Tabaczynski, J.A.,
Application of State Estimation to Target Tracking,
AC(29), No. 2, 1984, pp. 98-109. BibRef 8400

Sworder, D.D., Singer, P.F., Doria, D., Hutchins, R.G.,
Image-Enhanced Estimation Methods,
PIEEE(81), 1993, pp. 796-812. BibRef 9300

Mehrotra, K., Mahapatra, P.R.,
A Jerk Model for Tracking Highly Maneuvering Targets,
AeroSys(33), No. 4, October 1997, pp. 1094-1105. 9710
BibRef

Mehrotra, K.,
Comments on 'A Jerk Model for Tracking Highly Maneuvering Targets': Reply,
AeroSys(34), No. 3, July 1998, pp. 983-983. 9808
BibRef

Rao, S.K.,
Comments on 'A Jerk Model for Tracking Highly Maneuvering Targets',
AeroSys(34), No. 3, July 1998, pp. 982-983. 9808
BibRef

Rowland, P.J.[Patricia J.], Kreeger, K.A.[Kevin A.], Sanders, A.R.[Albert R.],
Model-based feature tracking system,
US_Patent5,801,970, Sep 1, 1998
WWW Link. BibRef 9809

Choi, S.H.[Song-Ha], Lee, S.W.[Seong-Whan],
Region tracking using perspective motion model,
PR(33), No. 12, December 2000, pp. 2095-2098.
Elsevier DOI 0401
BibRef

Luo, R.C.[Ren C.], Chen, T.M.[Tse Min], Su, K.L.[Kuo Lan],
Target tracking using hierarchical grey-fuzzy motion decision-making method,
SMC-A(31), No. 3, May 2001, pp. 179-186.
IEEE Top Reference. 0106
BibRef

Toyama, K.[Kentaro], Blake, A.[Andrew],
Probabilistic Tracking with Exemplars in a Metric Space,
IJCV(48), No. 1, June 2002, pp. 9-19.
DOI Link 0204
BibRef
Earlier:
Probabilistic Tracking in a Metric Space,
ICCV01(II: 50-57).
IEEE DOI 0106
Award, Marr Prize. BibRef
And: A2, A1:
Probabilistic exemplar-based pattern tracking,
US_Patent7,167,578, Jan 23, 2007
WWW Link. BibRef

Djurovic, I., Stankovic, S.,
Estimation of time-varying velocities of moving objects by time-frequency representations,
IP(12), No. 5, May 2003, pp. 550-562.
IEEE DOI 0307
BibRef

Stankovic, S.[Srdjan],
A method for TF signal analysis,
TSP(42), No. 1, January 1994, pp. 225-229. BibRef 9401

Stankovic, S.[Srdjan],
The auto-term representation by the reduced interference distributions; The procedure for a kernel design,
TSP(44), No. 6, June 1996, pp. 1557-1564. BibRef 9606

Stankovic, S.[Srdjan],
Method for improved energy concentration in the TF analysis of multicomponent signals using L-WD,
TSP(43), No. 5, May 1995, pp. 1262-1269. BibRef 9505

Djurovic, I.[Igor], Stankovic, S.[Srdjan], Ohsumi, A.[Akira], Ijima, H.[Hiroshi],
Motion parameters estimation by new propagation approach and time-frequency representations,
SP:IC(19), No. 8, September 2004, pp. 755-770.
Elsevier DOI 0410
BibRef

Duh, F.B., Lin, C.T.,
Tracking a Maneuvering Target Using Neural Fuzzy Network,
SMC-B(34), No. 1, February 2004, pp. 16-33.
IEEE Abstract. 0403
BibRef

Guo, L.[Lei], Wang, H.[Hong],
PID controller design for output PDFs of stochastic systems using linear matrix inequalities,
SMC-B(35), No. 1, February 2005, pp. 65-71.
IEEE Abstract. 0501
proportional-integral-derivative (PID). B-spline for tracking. BibRef

Bonneau, S., Dahan, M., Cohen, L.D.,
Single Quantum Dot Tracking Based on Perceptual Grouping Using Minimal Paths in a Spatiotemporal Volume,
IP(14), No. 9, September 2005, pp. 1384-1395.
IEEE DOI 0508
BibRef
Earlier:
Tracking Single Quantum Dots in Live Cells with Minimal Paths,
BioInfo05(III: 141-141).
IEEE DOI 0507
BibRef

Motamed, C.[Cina],
Motion detection and tracking using belief indicators for an automatic visual-surveillance system,
IVC(24), No. 11, 1 November 2006, pp. 1192-1201.
Elsevier DOI 0610
Video-surveillance; Belief indicator; Belief updating; Uncertainty management BibRef

García, J.[Jesús], Pérez, O.[Oscar], Berlanga, A.[Antonio], Molina, J.M.[José M.],
Video tracking system optimization using evolution strategies,
IJIST(17), No. 2, 2007, pp. 75-90.
DOI Link 0710
BibRef

Zhu, G., Zhang, S., Chen, X., Wang, C.,
Efficient Illumination Insensitive Object Tracking by Normalized Gradient Matching,
SPLetters(14), No. 12, December 2007, pp. 944-947.
IEEE DOI 0711
BibRef

Bishop, A.N., Savkin, A.V.,
Set-Valued State Estimation and Attack Detection for Uncertain Descriptor Systems,
SPLetters(20), No. 11, 2013, pp. 1102-1105.
IEEE DOI 1310
set theory BibRef

Mayol-Cuevas, W.W.[Walterio W.], Murray, D.W.,
Tracking with general regression,
MVA(19), No. 1, January 2008, pp. 65-72.
Springer DOI 0801
BibRef

Ebrahimi, M., Mayol-Cuevas, W.W.[Walterio W.],
Adaptive Sampling for Feature Detection, Tracking, and Recognition on Mobile Platforms,
CirSysVideo(21), No. 10, October 2011, pp. 1467-1475.
IEEE DOI 1110
BibRef

Park, K.S.[Kyoung-Su], Lee, J.S.[Jin-Seok], Stanacevic, M.[Milutin], Hong, S.J.[Sang-Jin], Cho, W.D.[We-Duke],
Iterative Object Localization Algorithm Using Visual Images with a Reference Coordinate,
JIVP(2008), No. 2008, pp. xx-yy.
DOI Link 0811
BibRef

Lee, J.S.[Jin-Seok], Ryu, J.H.[Jung-Hun], Hong, S.J.[Sang-Jin], Cho, W.D.[We-Duke],
Local and Global Collaboration for Object Detection Enhancement with Information Redundancy,
AVSBS09(358-363).
IEEE DOI 0909
BibRef

Yeh, Y.J., Hsu, C.T.,
Online Selection of Tracking Features Using AdaBoost,
CirSysVideo(19), No. 3, March 2009, pp. 442-446.
IEEE DOI 0903
BibRef

Crespo, J.L.[José Luis], Zorrilla, M.[Marta], Bernardos, P.[Pilar], Mora, E.[Eduardo],
Moving objects forecast in image sequences using autoregressive algorithms,
VC(25), No. 4, April 2009, pp. xx-yy.
Springer DOI 0903
Apply optical flow and autoregressive technique. BibRef

Hong, L., Ruan, Y., Li, W., Wicker, D., Layne, J.,
Energy-based video tracking using joint target density processing with an application to unmanned aerial vehicle surveillance,
IET-CV(2), No. 1, March 2008, pp. 1-12.
DOI Link 0905
BibRef

Reece, S., Roberts, S.,
The Near Constant Acceleration Gaussian Process Kernel for Tracking,
SPLetters(17), No. 8, August 2010, pp. 707-710.
IEEE DOI 1007
BibRef

Sinha, S.N.[Sudipta N.], Frahm, J.M.[Jan-Michael], Pollefeys, M.[Marc], Genc, Y.[Yakup],
Feature tracking and matching in video using programmable graphics hardware,
MVA(22), No. 1, January 2011, pp. 207-217.
WWW Link. 1101
BibRef
Earlier:
GPU-Based Video Feature Tracking and Matching,
TR06-012, Department of Computer Science, UNC Chapel Hill, May 2006.
PDF File. BibRef

Sinha, S.N.[Sudipta N.],
GPU_KLT: A GPU-based Implementation of the Kanade-Lucas-Tomasi Feature Tracker,
Online2007. Code, Tracking. C++ Code for Kanade-Lucas-Tomasi feature tracker.
See also Shape and Motion from Image Streams: A Factorization Method Part 3 - Detection and Tracking of Point Features.
See also KLT: An Implementation of the Kanade-Lucas-Tomasi Feature Tracker. BibRef 0700

Kyrki, V.[Ville], Kragic, D.[Danica],
Tracking rigid objects using integration of model-based and model-free cues,
MVA(22), No. 2, March 2011, pp. 323-335.
WWW Link. 1103
BibRef

Kyrki, V.[Ville], Schmock, K.[Kerstin],
Integation Methods of Model-Free Features for 3D Tracking,
SCIA05(557-566).
Springer DOI 0506
BibRef

Björkman, M.[Mårten], Bergström, N.[Niklas], Kragic, D.[Danica],
Detecting, segmenting and tracking unknown objects using multi-label MRF inference,
CVIU(118), No. 1, 2014, pp. 111-127.
Elsevier DOI 1312
Figure-ground segmentation BibRef

Park, H.[Hanhoon], Mitsumine, H.[Hideki], Fujii, M.[Mahito],
Automatic Adjustment of the Distance Ratio Threshold in Nearest Neighbor Distance Ratio Matching for Robust Camera Tracking,
IEICE(E94-D), No. 4, April 2011, pp. 938-940.
WWW Link. 1104
nearest neighbor distance ratio (NNDR) often loses "inliers". Adjust limites to keep the inlier/outlier ratio. BibRef

Sun, L., Liu, G.,
Visual Object Tracking Based on Combination of Local Description and Global Representation,
CirSysVideo(21), No. 4, April 2011, pp. 408-420.
IEEE DOI 1104
BibRef

He, Y.[Yang], Pei, M.T.[Ming-Tao], Yang, M.[Min], Wu, Y.W.[Yu-Wei], Jia, Y.D.[Yun-De],
Online visual tracking by integrating spatio-temporal cues,
IET-CV(9), No. 1, 2015, pp. 124-137.
DOI Link 1504
image sequences BibRef

Kähler, O.[Olaf], Denzler, J.[Joachim],
Tracking and Reconstruction in a Combined Optimization Approach,
PAMI(34), No. 2, February 2012, pp. 387-401.
IEEE DOI 1112
BibRef
Earlier:
Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach,
DAGM08(xx-yy).
Springer DOI 0806
BibRef
Earlier:
Rigid Motion Constraints for Tracking Planar Objects,
DAGM07(102-111).
Springer DOI 0709
Structure from motion combine matching with reconstruction giving 3D feedback to aid in correspondence. BibRef

Zhou, X.Z.[Xiu-Zhuang], Lu, Y.[Yao], Lu, J., Zhou, J.,
Abrupt Motion Tracking Via Intensively Adaptive Markov-Chain Monte Carlo Sampling,
IP(21), No. 2, February 2012, pp. 789-801.
IEEE DOI 1201
BibRef
Earlier: A1, A2, Only:
Abrupt motion tracking via adaptive stochastic approximation Monte Carlo sampling,
CVPR10(1847-1854).
IEEE DOI 1006

See also Polygonal Approximation of Digital Planar Curves via Hybrid Monte Carlo Optimization. BibRef

Tang, M.[Ming], Peng, X.[Xi],
Robust Tracking With Discriminative Ranking Lists,
IP(21), No. 7, July 2012, pp. 3273-3281.
IEEE DOI 1206
BibRef
Earlier: Add A3: Chen, D.[Duowen], ACCV10(I: 283-295).
Springer DOI 1011
BibRef

Tsai, D.[David], Flagg, M.[Matthew], Nakazawa, A.[Atsushi], Rehg, J.M.[James M.],
Motion Coherent Tracking Using Multi-label MRF Optimization,
IJCV(100), No. 2, November 2012, pp. 190-202.
WWW Link. 1209
BibRef
Earlier: A1, A2, A4, Only:
Motion Coherent Tracking with Multi-label MRF optimization,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Zhan, X.L.[Xue-Liang], Ma, B.[Bo],
Gaussian Mixture Model on Tensor Field for Visual Tracking,
SPLetters(19), No. 11, November 2012, pp. 733-736.
IEEE DOI 1210
BibRef

Khatoonabadi, S.H., Bajic, I.V.,
Video Object Tracking in the Compressed Domain Using Spatio-Temporal Markov Random Fields,
IP(22), No. 1, January 2013, pp. 300-313.
IEEE DOI 1301
BibRef

Potter, J.J., Singhose, W.E.,
Improving Manual Tracking of Systems With Oscillatory Dynamics,
HMS(43), No. 1, January 2013, pp. 46-52.
IEEE DOI 1301
BibRef

Li, J.[Jing], Wang, J.Z.[Jun-Zheng],
Adaptive object tracking algorithm based on eigenbasis space and compressive sampling,
IET-IPR(6), No. 8, 2012, pp. 1170-1180.
DOI Link 1302
BibRef

Li, J.[Jing], Wang, J.Z.[Jun-Zheng],
Robust object tracking algorithm based on sparse eigenbasis,
IET-CV(8), No. 6, 2014, pp. 601-610.
DOI Link 1502
Bayes methods BibRef

Mahadevan, V.[Vijay], Vasconcelos, N.M.[Nuno M.],
Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms,
PAMI(35), No. 3, March 2013, pp. 541-554.
IEEE DOI 1303
BibRef
Earlier:
Automatic initialization and tracking using attentional mechanisms,
WBCV11(15-20).
IEEE DOI 1106
For an application:
See also Anomaly Detection and Localization in Crowded Scenes. BibRef

Li, Z.D.[Zhi-Dong], Wang, W.H.[Wei-Hong], Wang, Y.[Yang], Chen, F.[Fang], Wang, Y.[Yi],
Visual tracking by proto-objects,
PR(46), No. 8, August 2013, pp. 2187-2201.
Elsevier DOI 1304
Tracking; Proto-object; Saliency; Gibbs sampling; Bayesian BibRef

Wang, Y.[Yi], Li, Z.D.[Zhi-Dong], Wang, Y.[Yang], Chen, F.[Fang],
A Bayesian non-parametric viewpoint to visual tracking,
WACV13(482-488).
IEEE DOI 1303
BibRef

Cheng, G.[Guang], Vemuri, B.C.[Baba C.],
A Novel Dynamic System in the Space of SPD Matrices with Applications to Appearance Tracking,
SIIMS(6), No. 1, 2013, pp. 592-615.
DOI Link 1304
covariance descriptors constructed from simple features BibRef

Cruz-Mota, J., Bierlaire, M.[Michel], Thiran, J.P.[Jean Philippe],
Sample and Pixel Weighting Strategies for Robust Incremental Visual Tracking,
CirSysVideo(23), No. 5, May 2013, pp. 898-911.
IEEE DOI 1305
BibRef

Igual, R., Medrano, C., Plaza, I., Orrite, C.[Carlos],
Adaptive tracking algorithms to improve the use of computing resources,
IET-CV(7), No. 6, December 2013, pp. 415-424.
DOI Link 1402
computational complexity BibRef

Orrite, C.[Carlos], Pollo, E.[Elena],
Feature-Based Scaffolding for Object Tracking,
IbPRIA17(411-418).
Springer DOI 1706
BibRef

Wu, H.F.[He-Feng], Li, G.B.[Guan-Bin], Luo, X.N.[Xiao-Nan],
Weighted attentional blocks for probabilistic object tracking,
VC(30), No. 2, February 2014, pp. 229-243.
WWW Link. 1402
BibRef

Zhan, J.[Jin], Su, Z.[Zhuo], Wu, H.F.[He-Feng], Luo, X.N.[Xiao-Nan],
Robust tracking via discriminative sparse feature selection,
VC(31), No. 5, May 2015, pp. 575-588.
WWW Link. 1505
BibRef

Liu, N.[Ning], Liu, C.[Chang], Wu, H.F.[He-Feng], Zhu, H.Z.[Heng-Zheng], Zhan, J.[Jin],
Weak-structure-aware visual object tracking with bottom-up and top-down context exploration,
SP:IC(68), 2018, pp. 169-180.
Elsevier DOI 1810
Visual tracking, Weak structure, Keypoint, Context exploration BibRef

Wu, H.F.[He-Feng], Li, G.B.[Guan-Bin], Su, Z.[Zhuo], Luo, X.N.[Xiao-Nan],
Online boosted tracking with discriminative feature selection and scale adaptation,
ICIP12(401-404).
IEEE DOI 1302
BibRef

Jiang, J.W.[Jin-Wei], Yilmaz, A.[Alper],
Persistent tracking of static scene features using geometry,
CVIU(120), No. 1, 2014, pp. 141-156.
Elsevier DOI 1403
Feature tracking BibRef

Selvakumar, K., Jerome, J.[Jovitha],
Least squares estimation-based adaptive observation model for aerial visual tracking applications,
IJCVR(4), No. 1-2, 2014, pp. 134-144.
DOI Link 1403
BibRef

Quan, W.[Wei], Chen, J.X.[Jim X.], Yu, N.Y.[Nan-Yang],
Robust object tracking using enhanced random ferns,
VC(30), No. 4, April 2014, pp. 351-358.
WWW Link. 1404
BibRef

Zhuang, B.[Bohan], Lu, H.C.[Hu-Chuan], Xiao, Z.Y.[Zi-Yang], Wang, D.[Dong],
Visual Tracking via Discriminative Sparse Similarity Map,
IP(23), No. 4, April 2014, pp. 1872-1881.
IEEE DOI 1404
image sequences BibRef

Xiao, Z.Y.[Zi-Yang], Lu, H.C.[Hu-Chuan], Wang, D.[Dong],
L2-RLS-Based Object Tracking,
CirSysVideo(24), No. 8, August 2014, pp. 1301-1309.
IEEE DOI 1410
BibRef
Earlier:
Object tracking with L2-RLS,
ICPR12(1351-1354).
WWW Link. 1302
L2-regularized least square. Bayes methods. BibRef

Yan, J.Y.[Jing-Yu], Wang, F.X.[Fu-Xiang], Cao, X.B.[Xian-Bin], Zhang, J.[Jun],
Robust object tracking using least absolute deviation,
IVC(32), No. 11, 2014, pp. 930-939.
Elsevier DOI 1410
Object tracking BibRef

Yuan, Y.[Yuan], Emmanuel, S., Fang, Y.M.[Yu-Ming], Lin, W.S.[Wei-Si],
Visual Object Tracking Based on Backward Model Validation,
CirSysVideo(24), No. 11, November 2014, pp. 1898-1910.
IEEE DOI 1411
feature extraction BibRef

Mullick, D., Subramanyam, A.V., Emmanuel, S.,
Online SVM and backward model validation based visual tracking,
ICIP17(4327-4331)
IEEE DOI 1803
Adaptation models, Histograms, Image color analysis, Robustness, Support vector machines, Target tracking, Visualization, visual tracking BibRef

Yuan, Y.[Yuan], Yang, H., Fang, Y.M.[Yu-Ming], Lin, W.S.[Wei-Si],
Visual Object Tracking by Structure Complexity Coefficients,
MultMed(17), No. 8, August 2015, pp. 1125-1136.
IEEE DOI 1506
BibRef
Earlier: A1, A3, A4, Only:
Moving Object Tracking with Structure Complexity Coefficients,
MMMod15(I: 59-70).
Springer DOI 1501
Computational modeling BibRef

Liu, R.S.[Ri-Sheng], Jin, W.[Wei], Su, Z.X.[Zhi-Xun], Zhang, C.C.[Chang-Cheng],
Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking,
MultMedMag(21), No. 4, October 2014, pp. 47-55.
IEEE DOI 1502
computational complexity BibRef

Sui, Y.[Yao], Zhang, L.[Li],
Visual Tracking via Locally Structured Gaussian Process Regression,
SPLetters(22), No. 9, September 2015, pp. 1331-1335.
IEEE DOI 1503
Gaussian processes BibRef

Sui, Y.[Yao], Zhang, L.[Li],
Robust Tracking via Locally Structured Representation,
IJCV(119), No. 2, September 2016, pp. 110-144.
Springer DOI 1608

See also Robust Visual Tracking via Sparsity-Induced Subspace Learning. BibRef

Guo, W., Cao, L., Han, T.X., Yan, S., Xu, C.,
Max-Confidence Boosting With Uncertainty for Visual Tracking,
IP(24), No. 5, May 2015, pp. 1650-1659.
IEEE DOI 1504
Algorithm design and analysis BibRef

Shan, D.J.[Dong-Jing], Zhang, C.[Chao],
Visual tracking using IPCA and sparse representation,
SIViP(9), No. 4, May 2015, pp. 913-921.
WWW Link. 1504
BibRef

Zhao, J.D.[Ji-Dong], Li, J.J.[Jing-Jing], Lu, K.[Ke],
Robust Visual Tracking Using Sparse Discriminative Graph Embedding,
IEICE(E98-D), No. 4, April 2015, pp. 938-947.
WWW Link. 1505
BibRef

Liu, J.Y.[Jie-Yan], Ma, A.[Ao], Li, J.J.[Jing-Jing], Lu, K.[Ke],
Low-Rank Representation with Graph Constraints for Robust Visual Tracking,
IEICE(E100-D), No. 6, June 2017, pp. 1325-1338.
WWW Link. 1706
BibRef

Zhang, C.[Chao], Yamagata, Y.[Yo], Akashi, T.[Takuya],
Robust Visual Tracking via Coupled Randomness,
IEICE(E98-D), No. 5, May 2015, pp. 1080-1088.
WWW Link. 1506
BibRef

Adeli-Mosabbeb, E.[Ehsan], Fathy, M.[Mahmood],
Non-negative matrix completion for action detection,
IVC(39), No. 1, 2015, pp. 38-51.
Elsevier DOI 1506
Matrix completion BibRef

Chen, H.T.[Hsiao-Tzu], Tang, C.W.[Chih-Wei],
Robust tracking using visual cue integration for mobile mixed images,
JVCIR(30), No. 1, 2015, pp. 208-218.
Elsevier DOI 1507
Visual tracking BibRef

Lu, J.Y.[Jian-Yi], Wei, Y.C.[Yi-Chun], Tang, A.C.W.[Angela Chih-Wei],
Visual tracking using compensated motion model for mobile cameras,
ICIP11(489-492).
IEEE DOI 1201
BibRef

Sang, Q.[Qian], Lin, Z.[Zongli], Acton, S.T.[Scott T.],
A grid-based tracker for erratic targets,
PR(48), No. 11, 2015, pp. 3527-3541.
Elsevier DOI 1506
Target tracking BibRef

Fan, H.[Heng], Xiang, J.H.[Jin-Hai], Liao, H.H.[Hong-Hong], Du, X.P.[Xiao-Ping],
Robust tracking based on local structural cell graph,
JVCIR(31), No. 1, 2015, pp. 54-63.
Elsevier DOI 1508
Visual tracking BibRef

Fan, H.[Heng], Xiang, J.H.[Jin-Hai],
Robust Visual Tracking With Multitask Joint Dictionary Learning,
CirSysVideo(27), No. 5, May 2017, pp. 1018-1030.
IEEE DOI 1705
Computational modeling, Dictionaries, Feature extraction, Learning systems, Robustness, Target tracking, Visualization, Joint dictionary learning, multitask learning (MTL), sparse coding, visual, tracking BibRef

Zhang, S., Zhou, H., Jiang, F., Li, X.,
Robust Visual Tracking Using Structurally Random Projection and Weighted Least Squares,
CirSysVideo(25), No. 11, November 2015, pp. 1749-1760.
IEEE DOI 1511
Computational complexity BibRef

Shi, R.M.[Rong-Mei], Zhang, J.[Jun], Xie, Z.[Zhao], Gao, J.[Jun], Zheng, X.X.[Xin-Xiang],
Robust tracking with per-exemplar support vector machine,
IET-CV(9), No. 5, 2015, pp. 699-710.
DOI Link 1511
image classification BibRef

Guo, Q.A.[Qi-Ang], Wu, C.D.[Cheng-Dong], Feng, Y.[Yu], Lu, X.H.[Xiao-Hong],
Conjugate gradient algorithm for efficient covariance tracking with Jensen-Bregman LogDet metric,
IET-CV(9), No. 6, 2015, pp. 814-820.
DOI Link 1512
conjugate gradient methods BibRef

Yang, X., Wang, S.,
Data driven visual tracking via representation learning and online multi-class LPBoost learning,
IET-CV(10), No. 1, 2016, pp. 28-35.
DOI Link 1601
feature extraction BibRef

Zhang, L., Lu, H., Du, D., Liu, L.,
Sparse Hashing Tracking,
IP(25), No. 2, February 2016, pp. 840-849.
IEEE DOI 1601
Adaptation models. Treat object tracking as an approximate nearest neighbor searching process in a binary space. BibRef

Cai, B., Xu, X., Xing, X., Jia, K., Miao, J., Tao, D.,
BIT: Biologically Inspired Tracker,
IP(25), No. 3, March 2016, pp. 1327-1339.
IEEE DOI 1602
Biological system modeling BibRef

Wang, Z.H.[Zhi-Hui], Yoon, S.[Sook], Xie, S.J.[Shan Juan], Lu, Y.[Yu], Park, D.S.[Dong Sun],
Visual tracking with semi-supervised online weighted multiple instance learning,
VC(32), No. 3, March 2016, pp. 307-320.
WWW Link. 1604
BibRef

Sun, J., Zhang, S., Zhang, L.,
Object Tracking With Spatial Context Model,
SPLetters(23), No. 5, May 2016, pp. 727-731.
IEEE DOI 1604
Context BibRef

Mazzù, A., Morerio, P.[Pietro], Marcenaro, L.[Lucio], Regazzoni, C.S.[Carlo S.],
A Cognitive Control-Inspired Approach to Object Tracking,
IP(25), No. 6, June 2016, pp. 2697-2711.
IEEE DOI 1605
Bayes methods BibRef

Poling, B.[Bryan], Lerman, G.[Gilad],
Enhancing feature tracking with gyro regularization,
IVC(50), No. 1, 2016, pp. 42-58.
Elsevier DOI 1606
Feature tracking BibRef

Poling, B.[Bryan], Lerman, G.[Gilad], Szlam, A.[Arthur],
Better Feature Tracking through Subspace Constraints,
CVPR14(3454-3461)
IEEE DOI 1409
Feature Tracking BibRef

Tesfaye, Y.T.[Yonatan Tariku], Zemene, E.[Eyasu], Pelillo, M.[Marcello], Prati, A.[Andrea],
Multi-object tracking using dominant sets,
IET-CV(10), No. 4, 2016, pp. 289-297.
DOI Link 1608
BibRef
And: A2, A1, A4, A3: Pelillo, M.,
Simultaneous clustering and outlier detection using dominant sets,
ICPR16(2325-2330)
IEEE DOI 1705
Algorithm design and analysis, Atmospheric measurements, Clustering algorithms, Coherence, Optimization, Particle measurements, Symmetric matrices.
See also Multi-target Tracking in Multiple Non-overlapping Cameras Using Fast-Constrained Dominant Sets. BibRef

Gualdi, G.[Giovanni], Albarelli, A.[Andrea], Prati, A.[Andrea], Torsello, A.[Andrea], Pelillo, M.[Marcello], Cucchiara, R.[Rita],
Using Dominant Sets for Object Tracking with Freely Moving Camera,
VS08(xx-yy). 0810
BibRef

Feng, T.,
Decimation Double-Phase Estimator: An Efficient and Unambiguous High-Order Binary Offset Carrier Tracking Algorithm,
SPLetters(23), No. 7, July 2016, pp. 905-909.
IEEE DOI 1608
object tracking BibRef

Zhang, B.C.[Bao-Chang], Perina, A.[Alessandro], Li, Z.G.[Zhi-Gang], Murino, V.[Vittorio], Liu, J.Z.[Jian-Zhuang], Ji, R.R.[Rong-Rong],
Bounding Multiple Gaussians Uncertainty with Application to Object Tracking,
IJCV(118), No. 3, July 2016, pp. 364-379.
Springer DOI 1608
BibRef

Liu, C.L.[Chun-Lei], Ding, W.R.[Wen-Rui], Yang, J.Y.[Jin-Yu], Murino, V.[Vittorio], Zhang, B.C.[Bao-Chang], Han, J.G.[Jun-Gong], Guo, G.D.[Guo-Dong],
Aggregation Signature for Small Object Tracking,
IP(29), No. 1, 2020, pp. 1738-1747.
IEEE DOI 1912
Discrete cosine transforms, Target tracking, Object tracking, Silicon, Image reconstruction, Aggregation signature, image signature BibRef

Yousefhussien, M.A.[Mohammed A.], Browning, N.A.[N. Andrew], Kanan, C.[Christopher],
Bio-inspired algorithm for online visual tracking,
SPIE(Newsroom), October 6, 2016
DOI Link 1611
A novel smooth pursuit tracking method can be used to accurately track small targets in aerial videos. BibRef

Yousefhussien, M.A.[Mohammed A.], Browning, N.A.[N. Andrew], Kanan, C.[Christopher],
Online tracking using saliency,
WACV16(1-10)
IEEE DOI 1606
Brain modeling. Smooth Pursuit tracking algorithm. BibRef

Ukita, N.[Norimichi], Okada, A.[Asami],
High-order framewise smoothness-constrained globally-optimal tracking,
CVIU(153), No. 1, 2016, pp. 130-142.
Elsevier DOI 1612
Multi-object tracking BibRef

Chen, D.P.[Da-Peng], Yuan, Z.J.[Ze-Jian], Hua, G.[Gang], Wang, J.D.[Jing-Dong], Zheng, N.N.[Nan-Ning],
Multi-Timescale Collaborative Tracking,
PAMI(39), No. 1, January 2017, pp. 141-155.
IEEE DOI 1612
Collaboration BibRef

Chen, D.P.[Da-Peng], Yuan, Z.J.[Ze-Jian], Hua, G.[Gang], Wu, Y.[Yang], Zheng, N.N.[Nan-Ning],
Description-Discrimination Collaborative Tracking,
ECCV14(I: 345-360).
Springer DOI 1408
BibRef

Chen, D.P.[Da-Peng], Yuan, Z.J.[Ze-Jian], Wu, Y.[Yang], Zhang, G.[Geng], Zheng, N.N.[Nan-Ning],
Constructing Adaptive Complex Cells for Robust Visual Tracking,
ICCV13(1113-1120)
IEEE DOI 1403
Object tracking; Representation; Two-layer template BibRef

Zhang, G.[Geng], Yuan, Z.J.[Ze-Jian], Zheng, N.N.[Nan-Ning], Sheng, X.D.[Xing-Dong], Liu, T.[Tie],
Visual Saliency Based Object Tracking,
ACCV09(II: 193-203).
Springer DOI 0909
BibRef

Shanmugapriya, K., Malar, R.S.M.[R. Suja Mani],
A multi-balanced hybrid optimization technique to track objects using rough set theory,
SIViP(11), No. 3, March 2017, pp. 415-421.
WWW Link. 1702
BibRef

Huang, D.F.[Da-Fei], Luo, L.[Lei], Chen, Z.Y.[Zhao-Yun], Wen, M.[Mei], Zhang, C.Y.[Chun-Yuan],
Applying Detection Proposals to Visual Tracking for Scale and Aspect Ratio Adaptability,
IJCV(122), No. 3, May 2017, pp. 524-541.
Springer DOI 1704
BibRef
Earlier: A1, A2, A4, A3, A5:
Enable Scale and Aspect Ratio Adaptability in Visual Tracking with Detection Proposals,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Wu, F.[Feng], Peng, S.W.[Shao-Wu], Zhou, J.K.[Jing-Kai], Liu, Q.[Qiong], Xie, X.J.[Xiao-Jia],
Object Tracking Via Online Multiple Instance Learning with Reliable Components,
CVIU(172), 2018, pp. 25-36.
Elsevier DOI 1812
Object tracking, Online multiple instance learning, Reliable component BibRef

Zhao, J.P.[Jia-Ping], Itti, L.[Laurent],
shapeDTW: Shape Dynamic Time Warping,
PR(74), No. 1, 2018, pp. 171-184.
Elsevier DOI 1711
BibRef
Earlier:
Decomposing time series with application to temporal segmentation,
WACV16(1-9)
IEEE DOI 1606
Dynamic Time Warping. Algorithm design and analysis BibRef

Zeng, F., Ji, Y., Levine, M.D.[Martin D.],
Contextual Bag-of-Words for Robust Visual Tracking,
IP(27), No. 3, March 2018, pp. 1433-1447.
IEEE DOI 1801
Adaptation models, Bayes methods, Computational modeling, Context modeling, Image color analysis, Robustness, Visualization, contextual bag-of-words BibRef

Alevizakou, E.G.[Eleni-Georgia], Siolas, G.[George], Pantazis, G.[George],
Short-Term and Long-Term Forecasting for the 3D Point Position Changing by Using Artificial Neural Networks,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Jin, Z.F.[Zefen-Fen], Hou, Z.Q.[Zhi-Qiang], Yu, W.S.[Wang-Sheng], Wang, X.[Xin],
Target tracking approach via quantum genetic algorithm,
IET-CV(12), No. 3, April 2018, pp. 241-251.
DOI Link 1804
BibRef

Dai, B.[Bo], Hou, Z.Q.[Zhi-Qiang], Yu, W.S.[Wang-Sheng], Zhu, F.[Feng], Wang, X.[Xin], Jin, Z.F.[Zefen-Fen],
Visual tracking via ensemble autoencoder,
IET-IPR(12), No. 7, July 2018, pp. 1214-1221.
DOI Link 1806
BibRef

Öfjäll, K.[Kristoffer], Felsberg, M.[Michael],
Approximative Coding Methods for Channel Representations,
JMIV(60), No. 6, July 2018, pp. 929-940.
Springer DOI 1806
BibRef
Earlier:
Weighted Update and Comparison for Channel-Based Distribution Field Tracking,
VOT14(218-231).
Springer DOI 1504
BibRef

Kashiani, H.[Hossein], Shokouhi, S.B.[Shahriar B.],
Visual object tracking based on adaptive Siamese and motion estimation network,
IVC(83-84), 2019, pp. 17-28.
Elsevier DOI 1904
Object tracking, Siamese network, Convolutional neural networks, Motion estimation BibRef

Jayaraman, D.[Dinesh], Grauman, K.[Kristen],
End-to-End Policy Learning for Active Visual Categorization,
PAMI(41), No. 7, July 2019, pp. 1601-1614.
IEEE DOI 1906
BibRef
Earlier:
Look-Ahead Before You Leap: End-to-End Active Recognition by Forecasting the Effect of Motion,
ECCV16(V: 489-505).
Springer DOI 1611
Cameras, Visualization, Recurrent neural networks, Image recognition, Task analysis, Machine vision, Pipelines, panoramic images BibRef

Sun, W., Huang, W., Ji, Y., Dai, Y., Ren, P., Zhou, P., Hao, X.,
A Vessel Azimuth and Course Joint Re-Estimation Method for Compact HFSWR,
GeoRS(58), No. 2, February 2020, pp. 1041-1051.
IEEE DOI 2001
Azimuth, Target tracking, Radar tracking, Object detection, Estimation, Azimuth and course estimation, target tracking BibRef

Zha, Y., Ku, T., Li, Y., Zhang, P.,
Deep Position-Sensitive Tracking,
MultMed(22), No. 1, January 2020, pp. 96-107.
IEEE DOI 2001
Training, Semantics, Task analysis, Feature extraction, Object tracking, Additives, Visual tracking, softmax loss, ranking BibRef

Zhang, H.L.[Huan-Long], Gao, Z.[Zeng], Zhang, J.[Jie], Lu, X.K.[Xian-Kai], Chen, J.[Jian], Nie, G.H.[Guo-Hao], Qian, X.L.[Xiao-Liang],
Novel visual tracking approach via ant lion optimiser,
IET-IPR(14), No. 4, 27 March 2020, pp. 727-735.
DOI Link 2003
BibRef

Qiu, J.[Ji], Wang, L.[Lide], Hu, Y.H.[Yu Hen], Wang, Y.[Yin],
Two motion models for improving video object tracking performance,
CVIU(195), 2020, pp. 102951.
Elsevier DOI 2005
Video object tracking, Prior information, Bayesian estimation framework, Vector auto-regression BibRef

Liu, L.Q.[Li-Qiang], Cao, J.Z.[Jian-Zhong],
End-to-end learning interpolation for object tracking in low frame-rate video,
IET-IPR(14), No. 6, 11 May 2020, pp. 1066-1072.
DOI Link 2005
BibRef

Dai, K.H.[Kai-Heng], Wang, Y.H.[Yue-Huan],
End-to-end DeepNCC framework for robust visual tracking,
JVCIR(70), 2020, pp. 102800.
Elsevier DOI 2007
Visual tracking, End-to-end framework, NCC, Template matching BibRef

Song, K., Zhang, W., Lu, W., Zha, Z.J., Ji, X., Li, Y.,
Visual Object Tracking via Guessing and Matching,
CirSysVideo(30), No. 11, November 2020, pp. 4182-4191.
IEEE DOI 2011
Target tracking, Reinforcement learning, Visualization, Object tracking, Search problems, CNN BibRef

Wu, S.[Sijie], Zhang, K.[Kai], Li, S.[Shaoyi], Yan, J.[Jie],
Learning to Track Aircraft in Infrared Imagery,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
BibRef

Zhao, L.X.[Lang-Xu], Tao, H.H.[Hai-Hong], Chen, W.J.[Wei-Jia], Song, D.W.[Da-Wei],
Maneuvering Target Detection Based on Subspace Subaperture Joint Coherent Integration,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Roffo, G.[Giorgio], Melzi, S.[Simone], Castellani, U.[Umberto], Vinciarelli, A.[Alessandro], Cristani, M.[Marco],
Infinite Feature Selection: A Graph-based Feature Filtering Approach,
PAMI(43), No. 12, December 2021, pp. 4396-4410.
IEEE DOI 2112
BibRef
Earlier: A1, A2, A3, A4, Only:
Infinite Latent Feature Selection: A Probabilistic Latent Graph-Based Ranking Approach,
ICCV17(1407-1415)
IEEE DOI 1802
Feature extraction, Mutual information, Redundancy, Markov processes, Computational complexity, Correlation, markov chains. graph theory, object recognition, object tracking, probability, Robustness. BibRef

Chen, Y.[Yu], Xu, L.P.[Lu-Ping], Wang, G.M.[Guang-Min], Yan, B.[Bo], Sun, J.R.[Jing-Rong],
An Improved Smooth Variable Structure Filter for Robust Target Tracking,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Jiang, W.[Wei], Lyu, Y.X.[Yong-Xi], Shi, J.P.[Jing-Ping],
Unmanned Aerial Vehicle Target Tracking Based on OTSCKF and Improved Coordinated Lateral Guidance Law,
IJGI(11), No. 3, 2022, pp. xx-yy.
DOI Link 2204
BibRef

Sun, L.F.[Li-Fan], Zhang, J.J.[Jin-Jin], Yu, H.F.[Hao-Fang], Fu, Z.[Zhumu], He, Z.[Zishu],
Tracking of Maneuvering Extended Target Using Modified Variable Structure Multiple-Model Based on Adaptive Grid Best Model Augmentation,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Tian, W.M.[Wei-Ming], Fang, L.L.[Lin-Lin], Li, W.D.[Wei-Dong], Ni, N.[Na], Wang, R.[Rui], Hu, C.[Cheng], Liu, H.Z.[Han-Zhe], Luo, W.G.[Wei-Gang],
Deep-Learning-Based Multiple Model Tracking Method for Targets with Complex Maneuvering Motion,
RS(14), No. 14, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Li, J.C.[Jia-Chen], Ma, H.B.[Heng-Bo], Zhang, Z.H.[Zhi-Hao], Li, J.N.[Jin-Ning], Tomizuka, M.[Masayoshi],
Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking,
ITS(23), No. 8, August 2022, pp. 10556-10569.
IEEE DOI 2208
Trajectory, Predictive models, Hidden Markov models, Task analysis, Cognition, Kinematics, Graph neural networks, relational reasoning BibRef

Li, J.C.[Jia-Chen], Yang, F.[Fan], Ma, H.B.[Heng-Bo], Malla, S.[Srikanth], Tomizuka, M.[Masayoshi], Choi, C.[Chiho],
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting,
ICCV21(16076-16086)
IEEE DOI 2203
Training, Measurement, Rain, Pipelines, Human-robot interaction, Reinforcement learning, Predictive models, Vision applications and systems BibRef

Zhou, F.[Fansen], Wang, Y.[Yidi], Zheng, W.[Wei], Li, Z.[Zhao], Wen, X.[Xin],
Fast Distributed Multiple-Model Nonlinearity Estimation for Tracking the Non-Cooperative Highly Maneuvering Target,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Nie, J.H.[Jia-Hao], Wu, H.[Han], He, Z.W.[Zhi-Wei], Gao, M.Y.[Ming-Yu], Dong, Z.K.[Zhe-Kang],
Spreading Fine-Grained Prior Knowledge for Accurate Tracking,
CirSysVideo(32), No. 9, September 2022, pp. 6186-6199.
IEEE DOI 2209
Transformers, Target tracking, Estimation, Task analysis, Feature extraction, Decoding, Knowledge engineering, Transformer, accurate tracking BibRef

Sun, L.F.[Li-Fan], Zhang, J.J.[Jin-Jin], Yu, H.F.[Hao-Fang], Fu, Z.[Zhumu], He, Z.[Zishu],
Maneuvering Extended Object Tracking with Modified Star-Convex Random Hypersurface Model Based on Minimum Cosine Distance,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Cui, Y.[Yutao], Jiang, C.[Cheng], Wang, L.M.[Li-Min], Wu, G.S.[Gang-Shan],
Fully convolutional online tracking,
CVIU(224), 2022, pp. 103547.
Elsevier DOI 2211
Tracking, Online learning, Deep network, Anchor free BibRef

Luo, X.Z.[Xing-Zhou], Du, D.P.[Da-Peng], Wu, G.S.[Gang-Shan],
Robust and Real-Time Visual Tracking Based on Complementary Learners,
MMMod18(II:213-225).
Springer DOI 1802
BibRef

Jeong, D.[Dasol], Choi, S.B.[Seibum B.],
Tracking Control Based on Model Predictive Control Using Laguerre Functions With Pole Optimization,
ITS(23), No. 11, November 2022, pp. 20652-20663.
IEEE DOI 2212
Computational modeling, Tires, Bicycles, Vehicle dynamics, Prediction algorithms, Predictive models, Predictive control, tracking control BibRef

Xia, L.[Lang], Gao, H.[Huotao], Liang, L.[Lizheng], Lu, T.[Taoming], Feng, B.[Boning],
Radar Maneuvering Target Detection Based on Product Scale Zoom Discrete Chirp Fourier Transform,
RS(15), No. 7, 2023, pp. 1792.
DOI Link 2304
BibRef

Liu, L.[Lu], Zhang, S.[Shuo], Zhang, L.[Lichuan], Pan, G.[Guang], Yu, J.Z.[Jun-Zhi],
Multi-UUV Maneuvering Counter-Game for Dynamic Target Scenario Based on Fractional-Order Recurrent Neural Network,
Cyber(53), No. 6, June 2023, pp. 4015-4028.
IEEE DOI 2305
Optimization, Games, Game theory, Fuzzy sets, Heuristic algorithms, Uncertainty, Vehicle dynamics, Decision making, recurrent neural network (RNN) BibRef

Xiao, Y.Q.[Yu-Qi], Wu, Y.J.[Yong-Jun],
Robust visual tracking based on modified mayfly optimization algorithm,
IVC(135), 2023, pp. 104691.
Elsevier DOI 2306
Visual tracking, Mayfly optimization algorithm, Scale adaptive tracking frame BibRef

Fan, S.H.[Sheng-Hua], He, C.[Chu], Wei, C.X.[Chen-Xia], Zheng, Y.J.[Yu-Jin], Chen, X.[Xi],
Bayesian Dumbbell Diffusion Model for RGBT Object Tracking With Enriched Priors,
SPLetters(30), 2023, pp. 873-877.
IEEE DOI 2307
Training, Target tracking, Feature extraction, Diffusion processes, Semantics, Gaussian noise, Bayes methods, Bayesian, RGBT tracking BibRef

Huai, L.L.[Liang-Liang], Li, B.[Bo], Yun, P.[Peng], Song, C.[Chao], Wang, J.Y.[Jia-Yuan],
Weighted Maximum Correntropy Criterion-Based Interacting Multiple-Model Filter for Maneuvering Target Tracking,
RS(15), No. 18, 2023, pp. 4513.
DOI Link 2310
BibRef

Sun, Y.X.[Yu-Xian], Chang, S.Q.[Shao-Qiang], Cai, B.[Bowen], Wang, D.[Dewu], Liu, Q.H.[Quan-Hua],
Coherent Accumulation for Measuring Maneuvering Weak Targets Based on Stepped Dechirp Generalized Radon-Fourier Transform,
RS(15), No. 21, 2023, pp. 5161.
DOI Link 2311
BibRef

Sokhandan, A.[Alireza], Monadjemi, A.[Amirhassan],
Visual tracking in video sequences based on biologically inspired mechanisms,
CVIU(239), 2024, pp. 102724.
Elsevier DOI 2402
Visual tracking, Biological vision, Discriminative saliency, Motion model, Occlusion BibRef

Gao, J.[Jin], Lu, Y.[Yan], Qi, X.J.[Xiao-Juan], Kou, Y.T.[Yu-Tong], Li, B.[Bing], Li, L.[Liang], Yu, S.[Shan], Hu, W.M.[Wei-Ming],
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking,
PAMI(46), No. 3, March 2024, pp. 1881-1897.
IEEE DOI 2402
BibRef
Earlier: A1, A8, A2, Only: CVPR20(7384-7393)
IEEE DOI 2008
Visualization, Training, Adaptation models, Data models, Optimization, Task analysis, Robustness, Online learning, recursive least-squares estimation. Target tracking, Convergence, Cost function, Mathematical model BibRef

Wang, R.[Rui], Zhong, B.[Bineng], Chen, Y.[Yan],
Motion-Driven Tracking via End-to-End Coarse-to-Fine Verifying,
CirSysVideo(34), No. 2, February 2024, pp. 1007-1019.
IEEE DOI 2402
Tracking, Target tracking, Feature extraction, Transformers, Predictive models, Decoding, Training, Visual tracking, instance domain discriminator BibRef


Kang, B.[Bin], Liu, L.W.[Li-Wei], Zhao, S.H.[Shi-Hao], Du, S.L.[Song-Lin],
Robust RGB-T Tracking via Consistency Regulated Scene Perception,
ICIP23(510-514)
IEEE DOI 2312
BibRef

Sun, X.N.[Xiao-Ning], Sun, H.J.[Huai-Jiang], Li, B.[Bin], Wei, D.[Dong], Li, W.Q.[Wei-Qing], Lu, J.F.[Jian-Feng],
DeFeeNet: Consecutive 3D Human Motion Prediction with Deviation Feedback,
CVPR23(5527-5536)
IEEE DOI 2309
BibRef

Jiang, C.M.[Chiyu Max], Cornman, A.[Andre], Park, C.[Cheolho], Sapp, B.[Benjamin], Zhou, Y.[Yin], Anguelov, D.[Dragomir],
MotionDiffuser: Controllable Multi-Agent Motion Prediction Using Diffusion,
CVPR23(9644-9653)
IEEE DOI 2309
BibRef

Rowe, L.[Luke], Ethier, M.[Martin], Dykhne, E.H.[Eli-Henry], Czarnecki, K.[Krzysztof],
FJMP: Factorized Joint Multi-Agent Motion Prediction over Learned Directed Acyclic Interaction Graphs,
CVPR23(13745-13755)
IEEE DOI 2309
BibRef

Li, R.[Ruibo], Shi, H.Y.[Han-Yu], Fu, Z.[Ziang], Wang, Z.[Zhe], Lin, G.S.[Guo-Sheng],
Weakly Supervised Class-agnostic Motion Prediction for Autonomous Driving,
CVPR23(17599-17608)
IEEE DOI 2309
BibRef

Liu, G.X.[Geng-Xin], Sun, Q.[Qian], Huang, H.B.[Hai-Bin], Ma, C.Y.[Chong-Yang], Guo, Y.L.[Yu-Lan], Yi, L.[Li], Huang, H.[Hui], Hu, R.Z.[Rui-Zhen],
Semi-Weakly Supervised Object Kinematic Motion Prediction,
CVPR23(21726-21735)
IEEE DOI 2309
BibRef

Gómez-Huélamo, C.[Carlos], Conde, M.V.[Marcos V.], Barea, R.[Rafael], Bergasa, L.M.[Luis M.],
Improving Multi-Agent Motion Prediction with Heuristic Goals and Motion Refinement,
AICity23(5323-5332)
IEEE DOI 2309
BibRef

Woo, S.H.[Sang-Hyun], Park, K.Y.[Kwan-Yong], Oh, S.W.[Seoung Wug], Kweon, I.S.[In So], Lee, J.Y.[Joon-Young],
Tracking by Associating Clips,
ECCV22(XXV:129-145).
Springer DOI 2211
Within and between clips. BibRef

Mayer, C.[Christoph], Danelljan, M.[Martin], Bhat, G.[Goutam], Paul, M.[Matthieu], Paudel, D.P.[Danda Pani], Yu, F.[Fisher], Van Gool, L.J.[Luc J.],
Transforming Model Prediction for Tracking,
CVPR22(8721-8730)
IEEE DOI 2210
Training, Knowledge engineering, Target tracking, Predictive models, Transformers, Motion and tracking BibRef

Palafox, P.[Pablo], Sarafianos, N.[Nikolaos], Tung, T.[Tony], Dai, A.[Angela],
SPAMs: Structured Implicit Parametric Models,
CVPR22(12841-12850)
IEEE DOI 2210
Deformable models, Solid modeling, Shape, Tracking, Robustness, Parametric statistics, 3D from multi-view and sensors, Vision + graphics BibRef

Wang, Y.L.[Yun-Long], Pan, H.Y.[Hong-Yu], Zhu, J.[Jun], Wu, Y.H.[Yu-Huan], Zhan, X.[Xin], Jiang, K.[Kun], Yang, D.[Diange],
BE-STI: Spatial-Temporal Integrated Network for Class-agnostic Motion Prediction with Bidirectional Enhancement,
CVPR22(17072-17081)
IEEE DOI 2210
Point cloud compression, Image segmentation, Laser radar, Motion segmentation, Semantics, Pattern recognition, Motion and tracking BibRef

Liu, K.W.[Kai-Wen], Gao, J.[Jin], Liu, H.[Haowei], Li, L.[Liang], Li, B.[Bing], Hu, W.M.[Wei-Ming],
Exploring Motion Information for Distractor Suppression in Visual Tracking,
VOCVALC22(1923-1931)
IEEE DOI 2210
Training, Visualization, Target tracking, Statistical analysis, Conferences, Semantics BibRef

Marinello, N.[Nicola], Proesmans, M.[Marc], Van Gool, L.J.[Luc J.],
TripletTrack: 3D Object Tracking using Triplet Embeddings and LSTM,
WAD22(4499-4509)
IEEE DOI 2210
Visualization, Detectors, Feature extraction, Cameras, Trajectory, Sensors BibRef

Akan, A.K.[Adil Kaan], Erdem, E.[Erkut], Erdem, A.[Aykut], Güney, F.[Fatma],
SLAMP: Stochastic Latent Appearance and Motion Prediction,
ICCV21(14708-14717)
IEEE DOI 2203
Uncertainty, Limiting, Dynamics, Stochastic processes, Predictive models, Decoding, Image and video synthesis, Video analysis and understanding BibRef

Hassan, M.[Mohamed], Ceylan, D.[Duygu], Villegas, R.[Ruben], Saito, J.[Jun], Yang, J.[Jimei], Zhou, Y.[Yi], Black, M.[Michael],
Stochastic Scene-Aware Motion Prediction,
ICCV21(11354-11364)
IEEE DOI 2203
Legged locomotion, Solid modeling, Adaptation models, Navigation, Computational modeling, Stochastic processes, Scene analysis and understanding BibRef

Harley, A.W.[Adam W.], Zuo, Y.M.[Yi-Ming], Wen, J.[Jing], Mangal, A.[Ayush], Potdar, S.[Shubhankar], Chaudhry, R.[Ritwick], Fragkiadaki, K.[Katerina],
Track, Check, Repeat: An EM Approach to Unsupervised Tracking,
CVPR21(16576-16586)
IEEE DOI 2111
Training, Motion segmentation, Detectors, Pattern recognition, Object tracking, Expectation-maximization algorithms BibRef

Casas, S.[Sergio], Gulino, C.[Cole], Suo, S.[Simon], Luo, K.[Katie], Liao, R.J.[Ren-Jie], Urtasun, R.[Raquel],
Implicit Latent Variable Model for Scene-consistent Motion Forecasting,
ECCV20(XXIII:624-641).
Springer DOI 2011
BibRef

Liang, M.[Ming], Yang, B.[Bin], Hu, R.[Rui], Chen, Y.[Yun], Liao, R.J.[Ren-Jie], Feng, S.[Song], Urtasun, R.[Raquel],
Learning Lane Graph Representations for Motion Forecasting,
ECCV20(II:541-556).
Springer DOI 2011
BibRef

Danelljan, M., Van Gool, L.J., Timofte, R.,
Probabilistic Regression for Visual Tracking,
CVPR20(7181-7190)
IEEE DOI 2008
Target tracking, Probabilistic logic, Task analysis, Visualization, Uncertainty, Training BibRef

Yang, T., Xu, P., Hu, R., Chai, H., Chan, A.B.,
ROAM: Recurrently Optimizing Tracking Model,
CVPR20(6717-6726)
IEEE DOI 2008
Adaptation models, Computational modeling, Target tracking, Shape, Training, Interpolation, Convergence BibRef

Shuang, K., Huang, Y., Sun, Y., Cai, Z., Guo, H.,
Fine-Grained Motion Representation For Template-Free Visual Tracking,
WACV20(660-669)
IEEE DOI 2006
Optical imaging, Integrated optics, Visualization, Target tracking, Estimation, Adaptive optics BibRef

Kim, K., Choi, W., Koh, Y.J., Jeong, S., Kim, C.,
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression,
ICCV19(273-282)
IEEE DOI 2004
image classification, motion estimation, neural nets, object tracking, regression analysis, Task analysis BibRef

Danelljan, M.[Martin], Bhat, G.[Goutam], Khan, F.S.[Fahad Shahbaz], Felsberg, M.[Michael],
ATOM: Accurate Tracking by Overlap Maximization,
CVPR19(4655-4664).
IEEE DOI 2002
BibRef

Chang, M.F.[Ming-Fang], Lambert, J.[John], Sangkloy, P.[Patsorn], Singh, J.[Jagjeet], Bak, S.[Slawomir], Hartnett, A.[Andrew], Wang, D.[De], Carr, P.[Peter], Lucey, S.[Simon], Ramanan, D.[Deva], Hays, J.[James],
Argoverse: 3D Tracking and Forecasting With Rich Maps,
CVPR19(8740-8749).
IEEE DOI 2002
BibRef

Fang, K.[Kuan], Toshev, A.[Alexander], Fei-Fei, L.[Li], Savarese, S.[Silvio],
Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks,
CVPR19(538-547).
IEEE DOI 2002
remember long-term history. BibRef

Li, Y.[Yuke],
Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes,
CVPR19(294-303).
IEEE DOI 2002
BibRef

Wang, Z.[Ziyu], Kamata, S.I.[Sei-Ichiro],
Multiple Mask Enhanced Transformer for Robust Visual Tracking,
ICRVC22(43-48)
IEEE DOI 2301
Visualization, Target tracking, Correlation, Transformers, Decoding, object tracking, transformer, multiple masks BibRef

Peng, S.H.[Shen-Hui], Kamata, S.I.[Sei-Ichiro], Breckon, T.P.[Toby P.],
A Ranking Based Attention Approach for Visual Tracking,
ICIP19(3073-3077)
IEEE DOI 1910
Visual tracking, Ranking based attention, Convolutional tracker, ConvLSTM BibRef

Gao, P., Ma, Y., Yuan, R., Xiao, L., Wang, F.,
Learning Cascaded Siamese Networks for High Performance Visual Tracki,
ICIP19(3078-3082)
IEEE DOI 1910
Visual tracking, object detection, Siamese networks, cascaded learning BibRef

Ehrhardt, S.[Sebastien], Monszpart, A.[Aron], Mitra, N.[Niloy], Vedaldi, A.[Andrea],
Unsupervised Intuitive Physics from Visual Observations,
ACCV18(III:700-716).
Springer DOI 1906
BibRef

Ma, D., Bu, W., Cui, Y., Xie, Y., Wu, X.,
Learning Collaborative Model for Visual Tracking,
ICPR18(2582-2587)
IEEE DOI 1812
Target tracking, Feature extraction, Visualization, Computational modeling, Adaptation models, Detectors BibRef

Zhu, Z.[Zheng], Wang, Q.A.[Qi-Ang], Li, B.[Bo], Wu, W.[Wei], Yan, J.J.[Jun-Jie], Hu, W.M.[Wei-Ming],
Distractor-Aware Siamese Networks for Visual Object Tracking,
ECCV18(IX: 103-119).
Springer DOI 1810
BibRef

Ye, T.[Tian], Wang, X.L.[Xiao-Long], Davidson, J.[James], Gupta, A.[Abhinav],
Interpretable Intuitive Physics Model,
ECCV18(XII: 89-105).
Springer DOI 1810
BibRef

Zhu, Y., Wen, J., Zhang, L., Wang, Y.,
Visual Tracking with Dynamic Model Update and Results Fusion,
ICIP18(2685-2689)
IEEE DOI 1809
Target tracking, Histograms, Image color analysis, Adaptation models, Visualization, Color, Mathematical model, model update BibRef

Roffo, G.[Giorgio], Melzi, S.[Simone],
Online Feature Selection for Visual Tracking,
BMVC16(xx-yy).
HTML Version. 1805
BibRef

Roffo, G.[Giorgio], Melzi, S.[Simone], Cristani, M.,
Infinite Feature Selection,
ICCV15(4202-4210)
IEEE DOI 1602
Benchmark testing BibRef

Li, Z.Y.[Zhen-Yang], Tao, R., Gavves, E.[Efstratios], Snoek, C.G.M.[Cees G.M.], Smeulders, A.W.M.[Arnold W.M.],
Tracking by Natural Language Specification,
CVPR17(7350-7358)
IEEE DOI 1711
Image segmentation, Man-machine systems, Natural languages, Target tracking, Visualization BibRef

Wang, L.H.[Li-Heng], Sun, L.W.[Long-Wu],
Research of visual tracking based on prior knowledge,
ICIVC17(703-709)
IEEE DOI 1708
Acceleration, Adaptation models, Magnetic resonance, Sun, current statistical model, human guesture, interacting multiple model, prior knowledge, visual tracking BibRef

Lin, Y., Xu, Y., Chen, H., Bender, M.J., Abbott, A.L., Müller, R.,
Optimal Threshold and LoG Based Feature Identification and Tracking of Bat Flapping Flight,
WACV17(418-426)
IEEE DOI 1609
Cameras, Feature extraction, Image resolution, Image segmentation, Lighting, TIN BibRef

Trusheim, F.[Felix], Condurache, A.[Alexandru], Mertins, A.[Alfred],
Graphical stochastic models for tracking applications with variational message passing inference,
IPTA16(1-6)
IEEE DOI 1703
Gaussian noise BibRef

Ning, J.F.[Ji-Feng], Yang, J.M.[Ji-Mei], Jiang, S.J.[Shao-Jie], Zhang, L.[Lei], Yang, M.H.[Ming-Hsuan],
Object Tracking via Dual Linear Structured SVM and Explicit Feature Map,
CVPR16(4266-4274)
IEEE DOI 1612
BibRef

Sluzek, A.[Andrzej], Alali, A.[Aamna], Alzaabi, A.[Amna], Aljasmi, A.[Alia],
Visual Target Tracking Using a Low-Cost Methodology Based on Visual Words,
ICCVG16(498-508).
Springer DOI 1611
BibRef

Liu, J., Lu, Y., Zhou, T.,
Instance significance guided multiple instance boosting for robust visual tracking,
ICIP16(1694-1698)
IEEE DOI 1610
Boosting BibRef

Wang, J., Fei, C., Zhuang, L., Yu, N.,
Part-based multi-graph ranking for visual tracking,
ICIP16(1714-1718)
IEEE DOI 1610
Feature extraction BibRef

Ma, L., Zhang, X., Hu, W., Xing, J., Lu, J., Zhou, J.,
Local Subspace Collaborative Tracking,
ICCV15(4301-4309)
IEEE DOI 1602
Adaptation models BibRef

Ramakrishnan, N.[Nirmala], Srikanthan, T.[Thambipillai], Lam, S.K.[Siew Kei], Tulsulkar, G.R.[Gauri Ravindra],
Adaptive Window Strategy for High-Speed and Robust KLT Feature Tracker,
PSIVT15(355-367).
Springer DOI 1602
BibRef

Zhou, Y.[Yi], Kneip, L.[Laurent], Rodriguez, C.[Cristian], Li, H.D.[Hong-Dong],
Divide and Conquer: Efficient Density-Based Tracking of 3D Sensors in Manhattan Worlds,
ACCV16(V: 3-19).
Springer DOI 1704
BibRef

Kneip, L.[Laurent], Yi, Z.[Zhou], Li, H.D.[Hong-Dong],
SDICP: Semi-Dense Tracking based on Iterative Closest Points,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Gaüzère, B.[Benoit], Greco, C.[Claudia], Ritrovato, P.[Pierluigi], Saggese, A.[Alessia], Vento, M.[Mario],
Semantic Web Technologies for Object Tracking and Video Analytics,
ISVC15(II: 574-585).
Springer DOI 1601
BibRef

Fanani, N.[Nolang], Mester, R.[Rudolf],
Propagation based tracking with uncertainty measurement in automotive applications,
Southwest16(117-120)
IEEE DOI 1605
Cameras BibRef

Fanani, N.[Nolang], Barnada, M.[Marc], Mester, R.[Rudolf],
Motion Priors Estimation for Robust Matching Initialization in Automotive Applications,
ISVC15(I: 115-126).
Springer DOI 1601
BibRef

Wang, J.[Jing], Wang, Y.Y.[Yi-Yang], Liu, R.S.[Ri-Sheng], Su, Z.X.[Zhi-Xun],
Visual tracking via orthogonal sparse coding,
ICIP15(3817-3821)
IEEE DOI 1512
L_0 regularization BibRef

Cai, B.[Bolun], Xu, X.M.[Xiang-Min], Xing, X.F.[Xiao-Fen], Qing, C.M.[Chun-Mei],
BIT: Bio-inspired tracker,
ICIP15(2850-2854)
IEEE DOI 1512
Bio-inspired model; visual tracking BibRef

Zhong, G.Y.[Guang-Yu], Liu, R.S.[Ri-Sheng], Su, Z.X.[Zhi-Xun],
Robust visual tracking via discriminative sequential ranking,
ICIP15(1354-1358)
IEEE DOI 1512
BibRef
Earlier: ICIP15(4942-4946)
IEEE DOI 1512
Bayesian inference; Visual tracking; online algorithm; ranking method BibRef

Sheorey, S.[Sameer], Keshavamurthy, S.[Shalini], Yu, H.L.[Hui-Li], Nguyen, H.[Hieu], Taylor, C.N.[Clark N.],
Uncertainty Estimation for KLT Tracking,
IVVT14(475-487).
Springer DOI 1504
BibRef

Yuan, J.W.[Jin-Wei], Bastani, F.B.[Farokh B.],
Robust object tracking via online informative feature selection,
ICIP14(471-475)
IEEE DOI 1502
BibRef
And:
Online feature subset selection for object tracking,
ICIP14(3253-3257)
IEEE DOI 1502
Boosting Lighting BibRef

Liberman, Y.[Yoav], Perry, A.[Adi],
Visual Tracking Extensions for Accurate Target Recovery in Low Frame Rate Videos,
ISVC14(I: 128-139).
Springer DOI 1501
BibRef

Haubold, C.[Carsten], Aleš, J.[Janez], Wolf, S.[Steffen], Hamprecht, F.A.[Fred A.],
A Generalized Successive Shortest Paths Solver for Tracking Dividing Targets,
ECCV16(VII: 566-582).
Springer DOI 1611
BibRef

Schiegg, M.[Martin], Hanslovsky, P.[Philipp], Kausler, B.X.[Bernhard X.], Hufnagel, L.[Lars], Hamprecht, F.A.[Fred A.],
Conservation Tracking,
ICCV13(2928-2935)
IEEE DOI 1403
Factor Graph BibRef

Guo, K.L.[Kai-Ling], Xu, X.M.[Xiang-Min], Qiu, F.[Fuhao], Chen, J.Y.[Jia-Yong],
A novel incremental weighted PCA algorithm for visual tracking,
ICIP13(3914-3918)
IEEE DOI 1402
Tracking; drifting; incremental; weighted PCA BibRef

Lepoittevin, Y.[Yann], Herlin, I.[Isabelle], Bereziat, D.[Dominique],
Object's tracking by advection of a distance map,
ICIP13(3612-3616)
IEEE DOI 1402
Advection BibRef

Zhou, Z.W.[Zhen-Wei], Hong, Y.G.[Yi-Guang], Fang, H.T.[Hai-Tao],
Distributed estimation for moving target under switching interconnection network,
ICARCV12(1818-1823).
IEEE DOI 1304
BibRef

Wang, F.S.[Fa-Sheng], Lu, M.Y.[Ming-Yu],
Hamiltonian Monte Carlo estimator for abrupt motion tracking,
ICPR12(3066-3069).
WWW Link. 1302
BibRef

Lei, P.[Peng], Wu, T.F.[Tian-Fu], Pei, M.T.[Ming-Tao], Ming, A.L.[An-Long], Yao, Z.Y.[Zhen-Yu],
Robust tracking by accounting for hard negatives explicitly,
ICPR12(2112-2115).
WWW Link. 1302
BibRef

Rao, C.[Cong], Yao, C.[Cong], Bai, X.[Xiang], Qiu, W.C.[Wei-Chao], Liu, W.Y.[Wen-Yu],
Online Random Ferns for robust visual tracking,
ICPR12(1447-1450).
WWW Link. 1302
BibRef

Cifuentes, C.G.[Cristina Garcia], Sturzel, M.[Marc], Jurie, F.[Frederic], Brostow, G.J.[Gabriel J.],
Motion Models that Only Work Sometimes,
BMVC12(55).
DOI Link 1301
BibRef

Richa, R.[Rogerio], Souza, M.[Mateus], Scandaroli, G.G.[Glauco G.], Comunello, E.[Eros], von Wangenheim, A.[Aldo],
Direct visual tracking under extreme illumination variations using the sum of conditional variance,
ICIP14(373-377)
IEEE DOI 1502
Computational modeling BibRef

Scandaroli, G.G.[Glauco Garcia], Meilland, M.[Maxime], Richa, R.[Rogério],
Improving NCC-Based Direct Visual Tracking,
ECCV12(VI: 442-455).
Springer DOI 1210
BibRef

Kim, D.[Daehwan], Kim, K.H.[Ki-Hong], Lee, G.H.[Gil-Haeng], Kim, D.J.[Dai-Jin],
Dynamic Markov Random Field Model for Visual Tracking,
ARTEMIS12(III: 203-212).
Springer DOI 1210
BibRef

Bergou, A.J.[Attila J.], Swartz, S.[Sharon], Breuer, K.[Kenneth], Taubin, G.[Gabriel],
3D reconstruction of bat flight kinematics from sparse multiple views,
4DMOD11(1618-1625).
IEEE DOI 1201
BibRef

Salzmann, M.[Mathieu], Urtasun, R.[Raquel],
Physically-based motion models for 3D tracking: A convex formulation,
ICCV11(2064-2071).
IEEE DOI 1201
BibRef

Chang, H.J.[Hyung Jin], Park, M.S.[Myoung Soo], Jeong, H.[Hawook], Choi, J.Y.[Jin Young],
Tracking failure detection by imitating human visual perception,
ICIP11(3293-3296).
IEEE DOI 1201
BibRef

Yan, J.C.[Jun-Chi], Tong, M.L.[Ming-Lei],
Weighted sparse coding residual minimization for visual tracking,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Qammaz, A.[Ammar], Kyriazis, N.[Nikolaos], Argyros, A.A.[Antonis A.],
Boosting the Performance of Model-based 3D Tracking by Employing Low Level Motion Cues,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Kyriazis, N.[Nikolaos], Argyros, A.A.[Antonis A.],
Physically Plausible 3D Scene Tracking: The Single Actor Hypothesis,
CVPR13(9-16)
IEEE DOI 1309
3d BibRef

Tseng, K.S.[Kuo-Shih],
A stream field based partially observable moving object tracking algorithm,
ICARCV08(1850-1856).
IEEE DOI 1109
BibRef

Islam, M.Z.[M. Zahidul], Oh, C.M.[Chi-Min], Lee, C.W.[Chil-Woo],
Attenuated Sequential Importance Resampling (A-SIR) Algorithm for Object Tracking,
VS10(226-235).
Springer DOI 1109
BibRef

Su, G.H.[Guan-Hua], Ma, H.M.[Hui-Min], Hou, Y.[Yu],
A Robust Approach for Anti-jamming Target Tracking in Forward Looking Infrared Imagery,
ICIG11(636-641).
IEEE DOI 1109
BibRef

Sicre, R.[Ronan], Nicolas, H.[Henri],
Improved Gaussian Mixture Model for the Task of Object Tracking,
CAIP11(II: 389-396).
Springer DOI 1109
BibRef

Zhang, J.M.[Jian-Ming], Ma, S.[Shugao], Sclaroff, S.[Stan],
MEEM: Robust Tracking via Multiple Experts Using Entropy Minimization,
ECCV14(VI: 188-203).
Springer DOI 1408
BibRef

Wu, Z.[Zheng], Zhang, J.M.[Jian-Ming], Betke, M.[Margrit],
Online Motion Agreement Tracking,
BMVC13(xx-yy).
DOI Link 1402
BibRef

Wu, Z.[Zheng], Kunz, T.H.[Thomas H.], Betke, M.[Margrit],
Efficient track linking methods for track graphs using network-flow and set-cover techniques,
CVPR11(1185-1192).
IEEE DOI 1106
BibRef

Gu, S.[Steve], Zheng, Y.[Ying], Tomasi, C.[Carlo],
Linear time offline tracking and lower envelope algorithms,
ICCV11(1840-1846).
IEEE DOI 1201
BibRef
Earlier:
Efficient Visual Object Tracking with Online Nearest Neighbor Classifier,
ACCV10(I: 271-282).
Springer DOI 1011
offline so can do more global analysis. BibRef

Lee, J.H.[Jin-Ho], Iwana, B.K.[Brian Kenji], Ide, S.[Shouta], Hayashi, H.[Hideaki], Uchida, S.[Seiichi],
Globally Optimal Object Tracking with Complementary Use of Single Shot Multibox Detector and Fully Convolutional Network,
PSIVT17(110-122).
Springer DOI 1802
BibRef

Uchida, S.[Seiichi], Fujimura, I.[Ikko], Kawano, H.[Hiroki], Feng, Y.K.[Yao-Kai],
Analytical Dynamic Programming Tracker,
ACCV10(I: 296-309).
Springer DOI 1011
BibRef

Cargill, P.C., Quiroz, D.M., Sucar, L.E.[L. Enrique],
Object Tracking Based on Covariance Descriptors and On-Line Naive Bayes Nearest Neighbor Classifier,
PSIVT10(139-144).
IEEE DOI 1011
BibRef

Zang, D.[Di],
Illumination invariant object tracking based on multiscale phase,
ICIP10(357-360).
IEEE DOI 1009
BibRef

Cuntoor, N.P.[Naresh P.], Basharat, A.[Arslan], Perera, A.G.A.[A.G. Amitha], Hoogs, A.J.[Anthony J.],
Track Initialization in Low Frame Rate and Low Resolution Videos,
ICPR10(3640-3644).
IEEE DOI 1008
BibRef

Tresadern, P.A.[Philip A.], Cootes, T.F.[Timothy F.],
Gradient Constraints Can Improve Displacement Expert Performance,
ICPR10(157-160).
IEEE DOI 1008
Tracking. BibRef

Handa, A.[Ankur], Chli, M.[Margarita], Strasdat, H.[Hauke], Davison, A.J.[Andrew J.],
Scalable active matching,
CVPR10(1546-1553).
IEEE DOI 1006
Prior information to guide matches in tracking. BibRef

Liang, D.W.[Da-Wei], Huang, Q.M.[Qing-Ming], Yao, H.X.[Hong-Xun], Jiang, S.Q.[Shu-Qiang], Ji, R.R.[Rong-Rong], Gao, W.[Wen],
Novel observation model for probabilistic object tracking,
CVPR10(1387-1394).
IEEE DOI 1006
BibRef

Zhang, J.[Jing], Chen, D.[Duowen], Tang, M.[Ming],
Combining Discriminative and Descriptive Models for Tracking,
ACCV09(I: 113-122).
Springer DOI 0909
BibRef

Jin, Y.G.[Yong-Gang],
Beyond ICONDENSATION: AICONDENSATION and AFCONDENSATION for visual tracking with low-level and high-level cues,
ICIP09(4089-4092).
IEEE DOI 0911
BibRef

Liu, H.P.[Hua-Ping], Sun, F.C.[Fu-Chun],
Visual Tracking Using Sparsity Induced Similarity,
ICPR10(1702-1705).
IEEE DOI 1008
BibRef
And:
Incremental Co-Boost for visual tracking,
ICIP09(3597-3600).
IEEE DOI 0911
BibRef

Al Najjar, M.[Mayssaa], Ghosh, S.[Soumik], Bayoumi, M.[Magdy],
Robust object tracking using correspondence voting for smart surveillance visual sensing nodes,
ICIP09(1133-1136).
IEEE DOI 0911
BibRef

González Jiménez, L.E.[Luis Enrique], Loukianov, A.[Alexander], Bayro-Corrochano, E.[Eduardo],
Discrete Integral Sliding Mode Control in Visual Object Tracking Using Differential Kinematics,
CIARP09(843-850).
Springer DOI 0911
BibRef

Wang, X.Z.[Xue-Zhi], Morelande, M., Moran, B.,
Target Motion Analysis Using Single Sensor Bearings-Only Measurements,
CISP09(1-6).
IEEE DOI 0910
BibRef

Zhu, J.[Juan], Wang, S.[Shuai], Wang, D.W.[Da-Wei], Liu, Y.Y.[Yan-Ying], Wang, Y.J.[Yan-Jie],
Monte Carlo Tracking Method with Threshold Constraint,
CISP09(1-4).
IEEE DOI 0910
BibRef

Liu, Y.K.[Yuan-Kui], Fan, Y.Y.[Yang-Yu], Zhao, J.[Jiong],
Maneuvering Target Tracking in the Case of Wakes,
CISP09(1-4).
IEEE DOI 0910
BibRef

Feng, Z.Q.[Zhi-Quan], Yang, B.[Bo], Li, Y.[Yi], Jiang, Y.[Yan], Xu, T.[Tao],
A Novel Tracking Method Based on Optimized Selection,
CISP09(1-5).
IEEE DOI 0910
BibRef

Yi, W.[Wei], Kong, L.J.[Ling-Jiang], Yang, J.Y.[Jian-Yu], Liu, B.[Bin],
A Modified Dynamic Programming Approach for Dim Target Detection and Tracking,
CISP09(1-5).
IEEE DOI 0910
BibRef

Kalal, Z.[Zdenek], Mikolajczyk, K.[Krystian], Matas, J.G.[Jiri G.],
Forward-Backward Error: Automatic Detection of Tracking Failures,
ICPR10(2756-2759).
IEEE DOI 1008
BibRef

Li, J.[Jun], Yau, W.Y.[Wei-Yun], Wang, J.G.[Jian-Gang], Ser, W.[Wee],
Bi-model tracking of object of interest using invariant spatiogram descriptor,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Eckmann, M.[Michael], Boult, T.E.[Terrance E.],
Spatio-temporal consistency and distributivity as qualities of features,
VisLoc08(1-8).
IEEE DOI 0806
How consistently it has been tracked in the past. BibRef

Oerlemans, A.[Ard], Thomee, B.[Bart],
Interactive Feedback for Video Tracking Using a Hybrid Maximum Likelihood Similarity Measure,
CVHCI07(79-87).
Springer DOI 0710
BibRef

Jin, Y.G.[Yong-Gang], Mokhtarian, F.[Farzin], Bober, M.[Miroslaw], Illingworth, J.[John],
Fuzzy chamfer distance and its probabilistic formulation for visual tracking,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Chen, Z.Z.[Ze-Zhi], Husz, Z.L.[Zsolt L.], Wallace, I.[Iain], Wallace, A.M.[Andrew M.],
Video Object Tracking Based on a Chamfer Distance Transform,
ICIP07(III: 357-360).
IEEE DOI 0709
BibRef

Kennedy, H.L.[Hugh L.],
Two Statistical Measures of Similarity for Object Association and Tracking in Color Image Sequences,
ICIP07(II: 477-480).
IEEE DOI 0709
BibRef

Enescu, V.[Valentin], Ravyse, I.[Ilse], Sahli, H.[Hichem],
Visual Tracking by Hypothesis Testing,
ACIVS07(13-24).
Springer DOI 0708
BibRef

Goh, A.[Alvina], Vidal, R.[Rene],
Segmenting Motions of Different Types by Unsupervised Manifold Clustering,
CVPR07(1-6).
IEEE DOI 0706
BibRef

Dufrenois, F.[Franck], Colliez, J.[Johan], Hamad, D.[Denis],
Crisp Weighted Support Vector Regression for robust single model estimation: application to object tracking in image sequences,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Jeong, C.S.[Chang-Soo], Parker, A.C.[Alice C.],
3D Tree-Structured Object Tracking for Autonomous Ground Vehicles,
CRV07(266-273).
IEEE DOI 0705
BibRef

Chen, H.Y.[Hui-Ying], Li, Y.F.[You-Fu],
Towards Constrained Optimal 3D Tracking,
ICIAR06(I: 827-838).
Springer DOI 0610
BibRef

Chen, J.X.[Ji-Xu], Kim, M.Y.[Min-Young], Wang, Y.[Yu], Ji, Q.A.[Qi-Ang],
Switching Gaussian Process Dynamic Models for simultaneous composite motion tracking and recognition,
CVPR09(2655-2662).
IEEE DOI 0906
BibRef

Zhu, Z.W.[Zhi-Wei], Liao, W.H.[Wen-Hui], Ji, Q.A.[Qi-Ang],
Robust Visual Tracking Using Case-Based Reasoning with Confidence,
CVPR06(I: 806-816).
IEEE DOI 0606
BibRef

Chang, K.Y.[Kai-Yeuh], Lai, S.H.[Shang-Hong],
Adaptive Object Tracking with Online Statistical Model Update,
ACCV06(II:363-372).
Springer DOI 0601
BibRef

Tian, M.[Min], Zhang, W.W.[Wei-Wei], Liu, F.Q.[Fu-Qiang],
On-Line Ensemble SVM for Robust Object Tracking,
ACCV07(I: 355-364).
Springer DOI 0711
BibRef

Wei, Y.C.[Yi-Chen], Sun, J.[Jian], Tang, X.[Xiaoou], Shum, H.Y.[Heung-Yeung],
Interactive Offline Tracking for Color Objects,
ICCV07(1-8).
IEEE DOI 0710
BibRef

Streckel, B.[Birger], Koch, R.[Reinhard],
Lens Model Selection for Visual Tracking,
DAGM05(41).
Springer DOI 0509
BibRef

Guo, G.D.[Guo-Dong], Dyer, C.R.[Charles R.], Zhang, Z.Y.[Zheng-You],
Linear Combination Representation for Outlier Detection in Motion Tracking,
CVPR05(II: 274-281).
IEEE DOI 0507
BibRef

Birchfield, S.T.[Stanley T.], Rangarajan, S.[Sriram],
Spatiograms versus Histograms for Region-Based Tracking,
CVPR05(II: 1158-1163).
IEEE DOI 0507
BibRef

Wang, Y.Z.[Yi-Zhou], Zhu, S.C.[Song Chun],
Modeling complex motion by tracking and editing hidden markov graphs,
CVPR04(I: 856-863).
IEEE DOI 0408
BibRef

Arslan, A.E.[Ali Erkin], Demirekler, M.[Mübeccel],
Visual Tracking With Group Motion Approach,
OTCBVS04(131).
IEEE DOI 0502
BibRef

Viet, H.Q.H., Sato, M., Tanaka, H.T.,
Analysis of three-dimensional motion of an object using a fixed monocular camera,
3DPVT04(223-230).
IEEE DOI 0412
BibRef

Shao, J.[Jie], Zhou, S.H.K.[Shao-Hua Kevin], Zheng, Q.F.[Qin-Fen],
Robust appearance-based tracking of moving object from moving platform,
ICPR04(IV: 215-218).
IEEE DOI 0409
BibRef

Jorge, P.M., Marques, J.S., Abrantes, A.J.,
Estimation of the bayesian network architecture for object tracking in video sequences,
ICPR04(II: 732-735).
IEEE DOI 0409
BibRef

Lin, R.S.[Ruei-Sung], Yang, M.H.[Ming-Hsuan], Levinson, S.E.,
Object Tracking Using Incremental Fisher Discriminant Analysis,
ICPR04(II: 757-760).
IEEE DOI 0409
BibRef

Zhu, J.H.[Ju-Hua], Schwartz, S.C., Liu, B.[Bede],
Object tracking: feature selection and confidence propagation,
CRV04(18-21).
IEEE DOI 0408
BibRef

Gomila, C., Meyer, F.,
Graph-based object tracking,
ICIP03(II: 41-44).
IEEE DOI 0312
BibRef

Smit, A.[Aart], Schuurman, D.C.[Derek C.],
Robust Subspace Position Measurement Using Localized Sub-Windows,
CRV07(282-288).
IEEE DOI 0705
BibRef

Schuurman, D.C., Capson, D.W.,
Video-rate eigen space method for position tracking and remote monitoring,
Southwest02(45-49).
IEEE Top Reference. 0208
BibRef

Chen, H.T.[Hwann-Tzong], Fuh, C.S.[Chiou-Shann],
Probabilistic tracking with adaptive feature selection,
ICPR04(II: 736-739).
IEEE DOI 0409
BibRef

Chen, H.T.[Hwann-Tzong], Liu, T.L.[Tyng-Luh],
Probabilistic tracking with optimal scale and orientation selection,
ICPR02(II: 668-671).
IEEE DOI 0211
BibRef

Wei, Y.[Yankun], Badawy, W.,
On reducing the inter frame rate: An embedded residual image model for mesh-based motion tracking,
ICIP02(I: 677-680).
IEEE DOI 0210
BibRef

Perret, Y.,
Real Object Parameters Tracking: a Geometric Model Based Approach,
SCIA01(O-Tu5). 0206
BibRef

Zhu, W.Y.[Wei-Yu], Wang, S.[Song], Lin, R.S.[Ruei-Sung], Levinson, S.[Stephen],
Tracking of Object with SVM Regression,
CVPR01(II:240-245).
IEEE DOI 0110
BibRef

Torresani, L., Bregler, C.,
Space-Time Tracking,
ECCV02(I: 801 ff.).
Springer DOI 0205

See also Nonrigid Structure-from-Motion: Estimating Shape and Motion with Hierarchical Priors. BibRef

Haworth, C., Peacock, A., Renshaw, D.,
Performance of Reference Block Updating Techniques When Tracking with the Block Matching Algorithm,
ICIP01(I: 365-368).
IEEE DOI 0108
BibRef

Wang, R., Chen, Y., Huang, T.,
Basis Pursuit for Tracking,
ICIP01(I: 401-404).
IEEE DOI 0108
BibRef

Lee, J.S., Rhee, K.Y., Kim, S.D.,
Moving Target Tracking Algorithm Based on the Confidence Measure of Motion Vectors,
ICIP01(I: 369-372).
IEEE DOI 0108
BibRef

Lim, J.E.[Jung-Eun], Ra, J.B.[Jong Beom],
Semi-automatic Video Segmentation for Object Tracking,
ICIP01(II: 81-84).
IEEE DOI 0108
BibRef
Earlier:
A Semantic Video Object Tracking Algorithm Using Three-Step Boundary Refinement,
ICIP99(II:159-163).
IEEE DOI BibRef

Lim, J.E.[Jung-Eun], Cho, H., Ra, J.B.[Jong Beom],
An Improved Video Object Tracking Algorithm Based on Motion Re-estimation,
ICIP00(Vol I: 339-342).
IEEE DOI 0008
BibRef

Saptharishi, M.[Mahesh], Hampshire, II, J.B.[John B.], Khosla, P.K.[Pradeep K.],
Agent-based Moving Object Correspondence using Differential Discriminative Diagnosis,
CVPR00(II: 652-658).
IEEE DOI 0005
BibRef

Magee, D.R., Boyle, R.D.,
Building Class Sensitive Models for Tracking Applications,
BMVC99(Movement and Tracking).
PDF File. BibRef 9900
Earlier:
Building Shape Models from Image Sequences using Piecewise Linear Approximation,
BMVC98(xx-yy). BibRef

Ben-Ezra, M., Peleg, S., Werman, M.,
Efficient Computation of the Most Probable Motion from Fuzzy Correspondences,
WACV98(22-27).
IEEE DOI 9809
BibRef

Baker, T.[Tim], Strens, M.[Malcolm],
Representation of Uncertainty in Spatial Target Tracking,
ICPR98(Vol II: 1339-1342).
IEEE DOI 9808
BibRef

Shapiro, L.S., Wang, H., Brady, J.M.,
A Matching and Tracking Strategy for Independently Moving Objects,
BMVC92(xx-yy).
PDF File. 9209
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Prediction for Tracking Techniques .


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