16.6.2 Region, Object, Target Tracking

Chapter Contents (Back)
Motion, Tracking. Sequences. Tracking. Target Tracking. Region Tracking. See also Mean-Shift Tracking Techniques.

Fitts, J.M.[John M.],
Video correlation tracker,
US_Patent4,133,004, 01/02/1979.
HTML Version. BibRef 7901

Emmons, D.L.[David L.], Roberts, R.E.[Richard E.], Pasko, E.[Edward], Harmon, G.L.[George Lamar],
Prestored area correlation tracker,
US_Patent4,106,726, 08/15/1978.
HTML Version. BibRef 7808

Doerr, J.E.[Joseph E.], Bozack, T.J.[Tomas J.],
Dynamic head motion measuring system,
US_Patent4,461,553, Jul 24, 1984
WWW Link. uses stereo tracking of target. BibRef 8407

Kabuka, M., McVey, E.S., Shironoshita, P.,
An Adaptive Approach to Video Tracking,
RA(4), 1988, pp. 228-236. BibRef 8800

Saka, K.[Kazuhiko], Hisano, A.[Atsushi], Kato, M.[Michitaka], Masaki, T.[Toshimichi], Nakatsuka, N.[Nobuo],
Pattern outline tracking method and apparatus,
US_Patent4,703,512, Oct 27, 1987
WWW Link. BibRef 8710

Hanna, K.J., Tarassenko, L.,
Tracking Cataract by the 'Four-Line' Method,
IVC(7), No. 1, February 1989, pp. 57-62.
Elsevier DOI BibRef 8902

Hwang, V.S.S.[Vincent S.S.],
Tracking Feature Points in Time-Varying Images Using an Opportunistic Selection Approach,
PR(22), No. 3, 1989, pp. 247-256.
Elsevier DOI BibRef 8900

Watson, III, T.M.[Thomas M.],
Nonparametric imaging tracker,
US_Patent4,868,871, Sep 19, 1989
WWW Link. BibRef 8909

Sanders, J.N.,
A Method for Determineing Filter Spacing in Assumed Velocity Filter Banks,
AeroSys(29), No. 3, July, 1993, pp. xx-yy. BibRef 9307

Healey, G.[Glenn],
Hierarchical Segmentation-Based Approach to Motion Analysis,
IVC(11), No. 9, November 1993, pp. 570-576.
Elsevier DOI
HTML Version. First generate segmentation, then match from frame to frame. BibRef 9311

Kumar, A., Bar-Shalom, Y., Oron, E.,
Precision Tracking Based on Segmentation with Optimal Layering for Imaging Sensors,
PAMI(17), No. 2, February 1995, pp. 182-188.
IEEE DOI BibRef 9502
And: Correction: PAMI(17), No. 3, March 1995, pp. 320-320.
IEEE Top Reference. BibRef
And: A3, A1, A2:
Precision Tracking with Segmentation for Imaging Sensors,
AeroSys(29), July 1993, pp. 977-987. BibRef

Bar-Shalom, Y., Shertukde, H.M., and Pattipati, K.R.,
Use of Measurements from an Imaging Sensor for Precision Target Tracking,
AeroSys(25), November 1989, pp. 863-871. BibRef 8911

Amato, G.T.[Gaetano T.],
Centroid target tracking system utilizing parallel processing of digital data patterns,
US_Patent5,175,694, Dec 29, 1992
WWW Link. BibRef 9212

Zheng, Q., and Chellappa, R.,
Automatic Feature Point Extraction and Tracking in Image Sequences for Arbitrary Camera Motion,
IJCV(15), No. 1-2, June 1995, pp. 31-76.
Springer DOI BibRef 9506
Earlier:
Automatic Feature Point Extraction and Tracking in Image Sequences for Unknown Camera Motion,
ICCV93(335-339).
IEEE DOI Matching, Points. Point matching using correlation based matching at different scales and subpixel accuracy. Transform the image (affine) (Rotation, Translation, Scale) to counter some camera motion and apply the correlation based match to get the feature point locations. BibRef

Wu, T.H., Chellappa, R., Zheng, Q.F.,
Experiments on Estimating Egomotion and Structure Parameters Using Long Monocular Image Sequences,
IJCV(15), No. 1-2, June 1995, pp. 77-103.
Springer DOI BibRef 9506
Earlier:
Point Correspondence and Motion Detection in Long Image Sequences,
DARPA93(661-671). BibRef

Yao, Y.S., Chellappa, R.,
Tracking a Dynamic Set of Feature Points,
IP(4), No. 10, October 1995, pp. 1382-1395.
IEEE DOI BibRef 9510

Yao, Y.S., Chellappa, R.,
Estimation of Unstabilized Components in Vehicular Motion,
ICPR94(A:641-644).
IEEE DOI BibRef 9400

Yao, Y.S., Chellappa, R.,
Dynamic Feature Point Tracking in an Image Sequence,
ICPR94(A:654-657).
IEEE DOI BibRef 9400

Rajala, S.A.[Sarah A.], Riddle, A.N.[Alfy N.], and Snyder, W.E.[Wesley E.],
Application of the One-Dimensional Fourier Transform for Tracking Moving Objects in Noisy Environments,
CVGIP(21), No. 2, February 1983, pp. 280-293.
Elsevier DOI BibRef 8302

Snyder, W.E.[Wesley E.], Rajala, S.A.[Sarah A.],
Track Acquisition of Subpixel Targets,
ISPDSA83(502-518). BibRef 8300

Ayala, K., Orton, D.A., Larson, J.B., and Elliott, D.F.,
Moving Target Tracking Using Symbolic Registration,
PAMI(4), No. 5, September 1982, pp. 515-520. Target tracking at symbolic level, segment (region growing), predict global scene motion, match segments, detect object motion, classify. Motion prediction means that the next match is close. The match is generated by creating an NxN matrix of the match values and permuting the rows until the minimum trace (sum of diagonal) is produced. BibRef 8209

Chandrashekhar, S., von der Malsburg, C., and Chellappa, R.,
Recursive Tracking of Image Points Using Labelled Graph Matching,
SMC-C91(xx). BibRef 9100

Rahgozar, M.A., and Allebach, J.P.,
Motion Estimation Based on Time-Sequentially Sampled Imagery,
IP(4), No. 1, January 1995, pp. 48-65.
IEEE DOI Sample the image sequentially (a set pattern) rather than snapshot and use for motion analysis. Does not seem to gain anything. BibRef 9501

Krishnan, S.[Srivatsan], Raviv, D.[Daniel],
2D Feature Tracking Algorithm for Motion Analysis,
PR(28), No. 8, August 1995, pp. 1103-1126.
Elsevier DOI BibRef 9508

Anguita, D., Parodi, G., Zunino, R.,
Neural Structures for Visual-Motion Tracking,
MVA(8), No. 5, 1995, pp. 275-288.
Springer DOI BibRef 9500

Alliney, S., Cortelazzo, G.M., Mian, G.A.,
On the Registration of an Object Translating on a Static Background,
PR(29), No. 1, January 1996, pp. 131-141.
Elsevier DOI BibRef 9601

Tao, X.J., Zou, C.R., He, Z.Y.,
Passive Target Tracking Using Maximum-Likelihood-Estimation,
AeroSys(32), No. 4, October 1996, pp. 1348-1354. 9611
BibRef

Rao, S.K.,
Comments on 'Passive Target Tracking Using Maximum-Likelihood-Estimation',
AeroSys(34), No. 3, July 1998, pp. 980-981. 9808
BibRef

Tang, Y.L., Kasturi, R.,
Accurate Estimation of Object Location in an Image Sequence Using Helicopter Flight Data,
RobCIM(11), No. 2, June 1994, pp. 65-72. Helicopter Data. BibRef 9406

Tang, Y.L., Kasturi, R.,
Tracking Moving-Objects During Low-Altitude Flight,
MVA(9), No. 1, 1996, pp. 20-31.
Springer DOI 9608
BibRef

Anderson, K.L., Iltis, R.A.,
A Tracking Algorithm for Infrared Images Based on Reduced Sufficient Statistics,
AeroSys(33), No. 2, Part 1, April 1997, pp. 464-472. 9704
BibRef

Kang, S.B., Szeliski, R.S., Shum, H.Y.,
A Parallel Feature Tracker for Extended Image Sequences,
CVIU(67), No. 3, September 1997, pp. 296-310.
DOI Link 9710
BibRef
Earlier: A2, A1, A3: SCV95(241-246).
IEEE DOI BibRef
And: DEC-CRL-95-2, May, 1995.
HTML Version. Digital Equipment Corporation. CMU. BibRef

Szeliski, R.S.[Richard S.], Wilt, N.P.[Nicholas P.],
System and method for statistically comparing and matching plural sets of digital data,
US_Patent6,993,156, Jan 31, 2006
WWW Link. BibRef 0601
And:
Statistically comparing and matching plural sets of digital data,
US_Patent7,302,084, Nov 27, 2007
WWW Link. BibRef

Cosatto, E.[Eric], Graf, H.P.[Hans Peter],
Multi-modal method for locating objects in images,
US_Patent5,864,630, Jan 26, 1999
WWW Link. Color, shape, motion BibRef 9901

Graf, H.P., Cosatto, E., Gibbon, D., Kocheisen, M., Petajan, E.D.,
Multi-modal system for locating heads and faces,
AFGR96(88-93).
IEEE DOI 9610
BibRef

Cosatto, E.[Eric], Graf, H.P.[Hans Peter], Potamianos, G.[Gerasimos],
Robust multi-modal method for recognizing objects,
US_Patent6,118,887, Sep 12, 2000
WWW Link. Head tracking mostly BibRef 0009

Belhumeur, P.N.[Peter N.], Hager, G.D.[Gregory D.],
Tracking in 3D: Image Variability Decomposition for Recovering Object Pose and Illumination,
PAA(2), No. 1, 1999, pp. 82-91. See also Efficient Region Tracking with Parametric Models of Geometry and Illumination. BibRef 9900

Lu, L.[Le], Hager, G.D.[Gregory D.],
A Nonparametric Treatment for Location/Segmentation Based Visual Tracking,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Paragios, N., Tziritas, G.,
Adaptive Detection and localization of Moving Objects in Image Sequences,
SP:IC(14), No. 4, January 1999, pp. 277-296.
Elsevier DOI 0001
BibRef
Earlier:
Detection and Location of Moving Objects Using Deterministic Relaxation Algorithms,
ICPR96(I: 201-205).
IEEE DOI 9608
(Univ. of Crete, GR) BibRef

Paragios, N.[Nikos], Perez, P., Tziritas, G., Labit, C., Bouthemy, P.,
Adaptive Detection of Moving Objects Using Multiscale Techniques,
ICIP96(I: 525-528).
IEEE DOI BibRef 9600

Gu, Y.H., Tjahjadi, T.,
Efficient Planar Object Tracking and Parameter Estimation Using Compactly Represented Cubic B-Spline Curves,
SMC-A(29), No. 4, July 1999, pp. 358.
IEEE Top Reference. BibRef 9907

Gu, Y.H., Gui, V., and Tjahjadi, T.,
Joint Segmentation and B-Spline Object Contour Modelling for Object Tracking and Motion Compensation in Image Sequences,
ICIP97(III: 492-495).
IEEE DOI BibRef 9700

Farina, A.[Alfonso],
Target tracking with Bearings-Only Measurements,
SP(78), No. 1, October 1999, pp. 61-78. BibRef 9910

Fusiello, A.[Andrea], Trucco, E.[Emanuele], Tommasini, T.[Tiziano], Roberto, V.[Vito],
Improving Feature Tracking with Robust Statistics,
PAA(2), No. 4, 1999, pp. 312-320. 9911
BibRef

Tommasini, T.[Tiziano], Fusiello, A.[Andrea], Trucco, E.[Emanuele], Roberto, V.[Vito],
Making Good Features to Track Better,
CVPR98(178-183).
IEEE DOI BibRef 9800

Chien, S.I.[Sung-Il], Sung, S.H.[Si-Hun],
Adaptive window method with sizing vectors for reliable correlation-based target tracking,
PR(33), No. 2, February 2000, pp. 237-249.
Elsevier DOI 0001
BibRef

Tonko, M.[Martin], Nagel, H.H.[Hans-Hellmut],
Model-Based Stereo-Tracking of Non-Polyhedral Objects for Automatic Disassembly Experiments,
IJCV(37), No. 1, June 2000, pp. 99-118.
DOI Link 0005
Tracking with a model. BibRef

Kumazawa, I.[Itsuo],
Target tracking by matching a shape represented by a tree of sigmoid functions,
PRL(21), No. 6-7, June 2000, pp. 661-675. 0006
See also Compact and parametric shape representation by a tree of sigmoid functions for automatic shape modeling. BibRef

Matsuzawa, Y., Kumazawa, I.,
Object Tracking with Shape Representation Network Using Color Information,
ICIP00(Vol III: 94-97).
IEEE DOI 0008
BibRef

Mansouri, A.R.[Abdol-Reza],
Region Tracking via Level Set PDEs without Motion Computation,
PAMI(24), No. 7, July 2002, pp. 947-961.
IEEE Abstract. 0207
See also Comparative Evaluation of Algorithms for Fast Computation of Level Set PDEs with Applications to Motion Segmentation, A. BibRef

Mansouri, A.R., Mitiche, A.,
Region tracking via local statistics and level set PDEs,
ICIP02(III: 605-608).
IEEE DOI 0210
BibRef
And:
Spatial/Joint Space-Time Motion Segmentation of Image Sequences by Level Set Pursuit,
ICIP02(II: 265-268).
IEEE DOI 0210
BibRef

Mansouri, A.R., Mitiche, A., Aron, M.,
PDE-Based Region Tracking without Motion Computation by Joint Space-Time Segmentation,
ICIP03(III: 113-116).
IEEE DOI 0312
BibRef

Mansouri, A.R., Olivier, A., Konrad, J.,
Topology-independent Region Tracking with Level Sets,
ICIP00(Vol III: 66-69).
IEEE DOI 0008
BibRef

Nascimento, J.C.[Jacinto C.], Abrantes, A.J.[Arnaldo J.], Marques, J.S.[Jorge S.],
Using middle level features for robust shape tracking,
PRL(24), No. 1-3, January 2003, pp. 295-307.
Elsevier DOI 0211
BibRef

Abrantes, A.J.[Arnaldo J.], Marques, J.S.[Jorge S.], Lemos, J.M.[Joao M.],
Long term tracking using bayesian networks,
ICIP02(III: 609-612).
IEEE DOI 0210
BibRef
Earlier: A2, A3, A1:
Estimation of Random Trajectories on Manifolds: Application to Object Tracking,
ICIP99(IV:103-107).
IEEE DOI BibRef

Ozyildiz, E.[Ercan], Krahnstoever, N.O.[Nils O.], Sharma, R.[Rajeev],
Adaptive texture and color segmentation for tracking moving objects,
PR(35), No. 10, October 2002, pp. 2013-2029.
Elsevier DOI 0206
BibRef

Krahnstoever, N.O., Sharma, R.,
Appearance management and cue fusion for 3D model-based tracking,
CVPR03(II: 249-254).
IEEE DOI 0307
BibRef

Krahnstoever, N.O., Sharma, R.,
Robust probabilistic estimation of uncertain appearance for model-based tracking,
Motion02(28-33).
IEEE DOI 0303
BibRef

Cooley, J.W., Toolan, T.M., Tufts, D.W.,
A subspace tracking algorithm using the fast Fourier transform,
SPLetters(11), No. 1, January 2004, pp. 30-32.
IEEE Abstract. 0402
BibRef

Gao, Q.G.[Qi-Gang], Zhang, Y.[Yun], Parslow, A.[Alan],
The influence of perceptual grouping on motion detection,
CVIU(100), No. 3, December 2005, pp. 442-457.
Elsevier DOI 0512
BibRef

Gao, Q.G.[Qi-Gang], Parslow, A., Tan, M.,
Perceptual Motion Tracking from Image Sequences,
ICIP01(I: 389-392).
IEEE DOI 0108
BibRef

Lu, C.G.[Cheng-Gang], Chi, Z.[Zheru], Chen, G.[Gang], Feng, D.D.[David Dagan],
Geometric Analysis of Particle Motion in a Vector Image Field,
JMIV(26), No. 3, December 2006, pp. 301-307.
Springer DOI 0701
BibRef

Ma, B.[Bo], Chi, Z.R.[Zhe-Ru], Zhang, T.W.[Tian-Wen],
Motion detection and tracking based on level set algorithm,
ICARCV04(I: 659-664).
IEEE DOI 0412
BibRef

Chen, D.T.[Da-Tong], Yang, J.[Jie],
Robust Object Tracking Via Online Dynamic Spatial Bias Appearance Models,
PAMI(29), No. 12, December 2007, pp. 2157-2169.
IEEE DOI 0711
BibRef
Earlier:
Online learning of region confidences for object tracking,
PETS05(1-8).
IEEE DOI 0602
BibRef

Yang, J.[Jie],
Surveillance video object tracking with differential SSIM,
CGC10(13).
PDF File. 1006
BibRef

Zhou, T.[Tao], He, X.J.[Xiang-Jian], Xie, K.[Kai], Fu, K.[Keren], Zhang, J.H.[Jun-Hao], Yang, J.[Jie],
Robust visual tracking via efficient manifold ranking with low-dimensional compressive features,
PR(48), No. 8, 2015, pp. 2459-2473.
Elsevier DOI 1505
Visual tracking BibRef

Liu, F.H.[Fang-Hui], Zhou, T.[Tao], Fu, K.[Keren], Yang, J.[Jie],
Robust visual tracking via constrained correlation filter coding,
PRL(84), No. 1, 2016, pp. 163-169.
Elsevier DOI 1612
Visual tracking BibRef

Zhou, T.[Tao], Bhaskar, H., Liu, F.H.[Fang-Hui], Yang, J.,
Graph Regularized and Locality-Constrained Coding for Robust Visual Tracking,
CirSysVideo(27), No. 10, October 2017, pp. 2153-2164.
IEEE DOI 1710
Manifolds, Robustness, Target tracking, Visualization, Appearance, graph regularization, locality-constrained linear coding (LLC), sparse coding, subspace coding. BibRef

Zhou, T., Lu, Y., Di, H.,
Locality-Constrained Collaborative Model for Robust Visual Tracking,
CirSysVideo(27), No. 2, February 2017, pp. 313-325.
IEEE DOI 1702
Collaboration BibRef

Liu, F.H.[Fang-Hui], Zhou, T.[Tao], Fu, K.[Keren], Yang, J.[Jie],
Kernelized temporal locality learning for real-time visual tracking,
PRL(90), No. 1, 2017, pp. 72-79.
Elsevier DOI 1704
Visual tracking BibRef

Gu, K., Zhou, T.[Tao], Liu, F.H.[Fang-Hui], Yang, J., Qiao, Y.,
Correlation filter tracking via bootstrap learning,
ICIP16(459-463)
IEEE DOI 1610
Boosting BibRef

Boltz, S.[Sylvain], Debreuve, E.[Eric], Barlaud, M.[Michel],
High-Dimensional Statistical Measure for Region-of-Interest Tracking,
IP(18), No. 6, June 2009, pp. 1266-1283.
IEEE DOI 0905
BibRef
Earlier:
High-dimensional statistical distance for region-of-interest tracking: Application to combining a soft geometric constraint with radiometry,
CVPR07(1-8).
IEEE DOI 0706
See also Joint Appearance and Deformable Shape for Nonparametric Segmentation. BibRef

Käs, C.[Christian], Nicolas, H.[Henri],
Compressed domain indexing of scalable H.264/SVC streams,
SP:IC(24), No. 6, July 2009, pp. 484-498.
Elsevier DOI 0906
BibRef
Earlier:
An Approach to Trajectory Estimation of Moving Objects in the H.264 Compressed Domain,
PSIVT09(318-329).
Springer DOI 0901
H.264/SVC; Trajectory estimation; Object distance estimation; Copy detection BibRef

Kas, C.[Christian], Nicolas, H.[Henri],
Rough compressed domain camera pose estimation through object motion,
ICIP09(3481-3484).
IEEE DOI 0911
BibRef

Zhong, Z., Meng, H., Wang, X.,
A Comparison of Posterior Cramer-Rao Bounds for Point and Extended Target Tracking,
SPLetters(17), No. 10, October 2010, pp. 819-822.
IEEE DOI 1008
BibRef

Panda, C.S.[Chandra Sekhar], Mallick, P.K.[Pradeep Kumar], Patnaik, S.[Srikanta],
Object tracking using parallel local colour histogram method,
IJCVR(1), No. 4, 2010, pp. 363-379.
DOI Link 1102
BibRef

Agarwal, A.[Abhinav], Datla, S.[Sanketh], Tyagi, B.[Barjeev], Niyogi, R.[Rajdeep],
Novel design for real time path tracking with computer vision using neural networks,
IJCVR(1), No. 4, 2010, pp. 380-391.
DOI Link 1102
BibRef

Wang, P., Qiao, H.,
Online Appearance Model Learning and Generation for Adaptive Visual Tracking,
CirSysVideo(21), No. 2, February 2011, pp. 156-169.
IEEE DOI 1103
BibRef

Nguyen, T.B.[Thanh Binh], Khare, A.[Ashish],
Object Tracking of Video Sequences in Curvelet Domain,
IJIG(11), No. 1, January 2011, pp. 1-20.
DOI Link 1103
BibRef

Nigam, S., Khare, A.[Ashish],
Curvelet transform-based technique for tracking of moving objects,
IET-CV(6), No. 3, 2012, pp. 231-251.
DOI Link 1205
BibRef

Johnson, D.O.[David O.], Agah, A.[Arvin],
A Novel Efficient Algorithm for Locating and Tracking Object Parts in Low Resolution Videos,
IJIS(20), No. 1, 2011.
DOI Link 1103
Pre publication info, check exact issue, page reference. BibRef

Saravanakumar, S., Vadivel, A.,
Integrated region matching approach for tracking target objects in video sequences using HSV colour space,
IJCVR(2), No. 1, 2011, pp. 62-79.
DOI Link 1104
BibRef

Yang, F.[Fan], Lu, H.C.[Hu-Chuan], Zhang, W.L.[Wen-Ling], Yang, G.,
Visual tracking via bag of features,
IET-IPR(6), No. 2, 2012, pp. 115-128.
DOI Link 1204
BibRef

Yang, F.[Fan], Lu, H.C.[Hu-Chuan], Chen, Y.W.[Yen-Wei],
Bag of Features Tracking,
ICPR10(153-156).
IEEE DOI 1008
BibRef

Lu, H.C.[Hu-Chuan], Zhang, W.L.[Wen-Ling], Chen, Y.W.[Yen-Wei],
On Feature Combination and Multiple Kernel Learning for Object Tracking,
ACCV10(III: 511-522).
Springer DOI 1011
BibRef

Wang, D.[Dong], Lu, H.C.[Hu-Chuan],
Object Tracking via 2DPCA and L_1 -Regularization,
SPLetters(19), No. 11, November 2012, pp. 711-714.
IEEE DOI 1210
See also Fast and Robust Object Tracking via Probability Continuous Outlier Model. BibRef

Wang, D.[Dong], Lu, H.C.[Hu-Chuan], Bo, C.[Chunjuan],
Visual Tracking via Weighted Local Cosine Similarity,
Cyber(45), No. 9, September 2015, pp. 1838-1850.
IEEE DOI 1509
image sequences BibRef

Wang, D.[Dong], Lu, H.C.[Hu-Chuan], Bo, C.,
Online Visual Tracking via Two View Sparse Representation,
SPLetters(21), No. 9, Sept 2014, pp. 1031-1034.
IEEE DOI 1406
BibRef

Wang, D.[Dong], Yang, G.[Gang], Lu, H.C.[Hu-Chuan],
Tri-Tracking: Combining Three Independent Views for Robust Visual Tracking,
IJIG(12), No. 3, July 2012, pp. 1250021.
DOI Link 1210
BibRef

Wang, D.[Dong], Lu, H.C.[Hu-Chuan], Chen, Y.W.[Yen-Wei],
Incremental MPCA for Color Object Tracking,
ICPR10(1751-1754).
IEEE DOI 1008
BibRef
And:
Object tracking by multi-cues spatial pyramid matching,
ICIP10(3957-3960).
IEEE DOI 1009
BibRef

Choi, H.C.[Hyun-Chul], Oh, S.Y.[Se-Young],
Robust segment-based object tracking using generalized hyperplane approximation,
PR(45), No. 8, August 2012, pp. 2980-2991.
Elsevier DOI 1204
Object tracking; Generalized hyperplane approximation; Histogram of oriented gradient; Partial occlusion; Illumination invariance BibRef

Choi, H.C.[Hyun-Chul],
Non-Linear Extension of Generalized Hyperplane Approximation,
IEICE(E99-D), No. 6, June 2016, pp. 1707-1710.
WWW Link. 1606
For solving motion estimation. BibRef

Wang, Q.[Qia], Zeng, W.J.[Wen-Jun], Lobzhanidze, A.G.[Aleksandre G.],
Mobile Media in Action: Remote Target Localization and Tracking,
MultMedMag(19), No. 3, 2012, pp. 74-80.
IEEE DOI 1209
BibRef

Lu, H., Lu, S., Wang, D., Wang, S., Leung, H.,
Pixel-Wise Spatial Pyramid-Based Hybrid Tracking,
CirSysVideo(22), No. 9, September 2012, pp. 1365-1376.
IEEE DOI 1209
BibRef

Li, J.Y.[Jing-Yu], Wang, Y.L.[Yu-Lei], Wang, Y.J.[Yan-Jie],
Visual tracking and learning using speeded up robust features,
PRL(33), No. 16, 1 December 2012, pp. 2094-2101.
Elsevier DOI 1210
Visual tracking; SURF; Optical flow; Subspace learning BibRef

Giannarou, S.[Stamatia], Visentini-Scarzanella, M.[Marco], Yang, G.Z.[Guang-Zhong],
Probabilistic Tracking of Affine-Invariant Anisotropic Regions,
PAMI(35), No. 1, January 2013, pp. 130-143.
IEEE DOI 1212
BibRef

Takacs, G.[Gabriel], Chandrasekhar, V.[Vijay], Tsai, S.S.[Sam S.], Chen, D.M.[David M.], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
Rotation-invariant fast features for large-scale recognition and real-time tracking,
SP:IC(28), No. 4, April 2013, pp. 334-344.
Elsevier DOI 1304
BibRef
Earlier:
Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features,
CVPR10(934-941).
IEEE DOI 1006
Feature descriptors; Keypoints; Tracking; Visual search BibRef

Takacs, G.[Gabriel], Chandrasekhar, V.[Vijay], Tsai, S.S.[Sam S.], Chen, D.M.[David M.], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
Fast Computation of Rotation-Invariant Image Features by an Approximate Radial Gradient Transform,
IP(22), No. 8, 2013, pp. 2970-2982.
IEEE DOI 1307
image retrieval; SURF BibRef

Chandrasekhar, V.[Vijay], Reznik, Y.[Yuriy], Takacs, G.[Gabriel], Chen, D.M.[David M.], Tsai, S.S.[Sam S.], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
Compressing Feature Sets with Digital Search Trees,
IWMV11(32-39).
IEEE DOI 1201
BibRef

Zhu, Q.P.[Qiu-Ping], Yan, J.[Jia], Deng, D.X.[De-Xiang],
Compressive tracking via oversaturated sub-region classifiers,
IET-CV(7), No. 6, December 2013, pp. 448-455.
DOI Link 1402
compressed sensing BibRef

Yan, J.[Jia], Chen, X.[Xi], Deng, D.X.[De-Xiang], Zhu, Q.P.[Qiu-Ping],
Visual object tracking via online sparse instance learning,
JVCIR(26), No. 1, 2015, pp. 231-246.
Elsevier DOI 1502
Visual tracking BibRef

Chi, Z.Z.[Zhi-Zhen], Li, H.Y.[Hong-Yang], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan],
Dual Deep Network for Visual Tracking,
IP(26), No. 4, April 2017, pp. 2005-2015.
IEEE DOI 1704
Algorithm design and analysis BibRef

Wang, S.[Shu], Lu, H.C.[Hu-Chuan], Yang, F.[Fan], Yang, M.H.[Ming-Hsuan],
Superpixel tracking,
ICCV11(1323-1330).
IEEE DOI 1201
large changes in scale, motion, shape, occlusion. BibRef

Zhou, Q.H.[Qiu-Hong], Lu, H.C.[Hu-Chuan], Yang, M.H.[Ming-Hsuan],
Online multiple support instance tracking,
FG11(545-552).
IEEE DOI 1103
BibRef

Lu, H.C.[Hu-Chuan], Zhou, Q.H.[Qiu-Hong], Wang, D.[Dong], Xiang, R.[Ruan],
A co-training framework for visual tracking with multiple instance learning,
FG11(539-544).
IEEE DOI 1103
BibRef

Li, A.[Annan], Yan, S.C.[Shui-Cheng],
Object Tracking With Only Background Cues,
CirSysVideo(24), No. 11, November 2014, pp. 1911-1919.
IEEE DOI 1411
image classification BibRef

Gai, S.[Shan], Luo, L.M.[Li-Min],
Visual objects tracking and identification based on reduced quaternion wavelet transform,
SIViP(8), No. S1, December 2014, pp. 75-84.
WWW Link. 1411
BibRef

Sun, X.[Xu], Zhang, J.[Jun], Xie, Z.[Zhao], Gao, J.[Jun], Wang, L.M.[Ling-Mei], Heidingsfelder, P.[Philipp],
Active-matting-based object tracking with color cues,
SIViP(8), No. S1, December 2014, pp. 85-94.
Springer DOI 1411
BibRef

Tian, X.L.[Xiao-Lin], Jiao, L.C.[Li-Cheng], Zhao, F.[Fandi], Zhang, X.H.[Xiao-Hua],
Tracking with spatial constrained coding,
IET-CV(9), No. 1, 2015, pp. 63-74.
DOI Link 1504
object tracking BibRef

Tian, X.L.[Xiao-Lin], Jiao, L.C.[Li-Cheng], Gan, Z., Wang, C., Zhang, X.H.[Xiao-Hua],
Consistency-Constrained Nonnegative Coding for Tracking,
CirSysVideo(27), No. 4, April 2017, pp. 880-891.
IEEE DOI 1704
Computer numerical control BibRef

Uke, N.J.[Nilesh J.], Thool, R.C.[Ravindra C.],
Objects tracking in video: A object-oriented approach using Unified Modeling Language,
IJCVR(5), No. 2, 2015, pp. 202-216.
DOI Link 1505
BibRef

Wang, G.F.[Guo-Feng], Wang, B.[Bin], Zhong, F.[Fan], Qin, X.Y.[Xue-Ying], Chen, B.Q.[Bao-Quan],
Global optimal searching for textureless 3D object tracking,
VC(31), No. 6-8, June 2015, pp. 979-988.
WWW Link. 1506
BibRef

Wang, J.[Jun], Wang, H.Z.[Han-Zi], Zhao, W.L.[Wan-Lei],
Affine hull based target representation for visual tracking,
JVCIR(30), No. 1, 2015, pp. 266-276.
Elsevier DOI 1507
Visual tracking BibRef

Xu, C.[Chao], Tao, W.Y.[Wen-Yuan], Meng, Z.P.[Zhao-Peng], Feng, Z.Y.[Zhi-Yong],
Robust visual tracking via online multiple instance learning with Fisher information,
PR(48), No. 12, 2015, pp. 3917-3926.
Elsevier DOI 1509
Tracking by detection BibRef

Yin, Y.J.[Ying-Jie], Xu, D.[De], Wang, X.G.[Xin-Gang], Bai, M.R.[Ming-Ran],
Online State-Based Structured SVM Combined With Incremental PCA for Robust Visual Tracking,
Cyber(45), No. 9, September 2015, pp. 1988-2000.
IEEE DOI 1509
computer vision BibRef

Sidram, M.H., Bhajantri, N.U.[Nagappa U.],
An Exploration with Novel Shape Signature of GMSC Distance Function to Track the Object,
IJIG(15), No. 04, 2015, pp. 1550014.
DOI Link 1509
BibRef

Xie, Z.[Zhao], Chen, J.[Jing], Yao, T.T.[Ting-Ting], Sun, Y.X.[Yong-Xuan],
Geometric structure-constraint tracking with confident parts,
SP:IC(36), No. 1, 2015, pp. 43-52.
Elsevier DOI 1509
Visual tracking BibRef

Huang, D.[Dandan], Sun, Y.[Yi],
Object tracking using discriminative sparse appearance model,
SP:IC(37), No. 1, 2015, pp. 1-18.
Elsevier DOI 1509
Visual tracking BibRef

Koohzadi, M.[Maryam], Keyvanpour, M.[Mohammad_Reza],
OTWC: an efficient object-tracking method,
SIViP(9), No. 6, September 2015, pp. 1235-1247.
WWW Link. 1509
BibRef

Quan, W.[Wei], Jiang, Y.Q.[Yong-Quan], Zhang, J.J.[Jian-Jun], Chen, J.X.[Jim X.],
Robust object tracking with active context learning,
VC(31), No. 10, October 2015, pp. 1307-1318.
WWW Link. 1509
BibRef

Li, Z.Y.[Zhi-Yong], He, S.[Shuang], Hashem, M.[Mervat],
Robust object tracking via multi-feature adaptive fusion based on stability: contrast analysis,
VC(31), No. 10, October 2015, pp. 1319-1337.
WWW Link. 1509
BibRef

Li, Z.Y.[Zhi-Yong], Gao, S.[Song], Nai, K.[Ke],
Robust object tracking based on adaptive templates matching via the fusion of multiple features,
JVCIR(44), No. 1, 2017, pp. 1-20.
Elsevier DOI 1703
Visual tracking BibRef

Li, Z.Y.[Zhi-Yong], Yu, X.P.[Xiao-Ping], Li, P.F.[Peng-Fei], Hashem, M.[Mervat],
Moving object tracking based on multi-independent features distribution fields with comprehensive spatial feature similarity,
VC(31), No. 12, December 2015, pp. 1633-1651.
WWW Link. 1512
BibRef

Xiao, J.J.[Jing-Jing], Oussalah, M.,
Collaborative Tracking for Multiple Objects in the Presence of Inter-Occlusions,
CirSysVideo(26), No. 2, February 2016, pp. 304-318.
IEEE DOI 1602
BibRef
And:
Robust model adaptation for tracking with online weighted color and shape feature,
IPTA14(1-6)
IEEE DOI 1503
Adaptation models. feature extraction BibRef

Oussalah, M., Shabash, M.,
Object tracking using level set and MPEG 7 color features,
IPTA12(105-110)
IEEE DOI 1503
image colour analysis BibRef

Li, H.X.[Han-Xi], Li, Y.[Yi], Porikli, F.M.[Fatih M.],
DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking,
IP(25), No. 4, April 2016, pp. 1834-1848.
IEEE DOI 1604
BibRef
Earlier:
DeepTrack: Learning Discriminative Feature Representations by Convolutional Neural Networks for Visual Tracking,
BMVC14(xx-yy).
HTML Version. 1410
BibRef

Li, H.[Hanxi], Li, Y.[Yi], Porikli, F.M.[Fatih M.],
Convolutional neural net bagging for online visual tracking,
CVIU(153), No. 1, 2016, pp. 120-129.
Elsevier DOI 1612
Visual tracking BibRef
Earlier:
Robust Online Visual Tracking with a Single Convolutional Neural Network,
ACCV14(V: 194-209).
Springer DOI 1504
Feature extraction BibRef

Zhu, H.[Hao], Porikli, F.M.[Fatih M.],
Automatic Refinement Strategies for Manual Initialization of Object Trackers,
IP(26), No. 2, February 2017, pp. 821-835.
IEEE DOI 1702
computer vision BibRef

Zhu, G.[Gao], Porikli, F.M.[Fatih M.], Li, H.D.[Hong-Dong],
Model-Free Multiple Object Tracking with Shared Proposals,
ACCV16(II: 288-304).
Springer DOI 1704
BibRef
And:
Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals,
CVPR16(943-951)
IEEE DOI 1612
BibRef
And:
Robust Visual Tracking with Deep Convolutional Neural Network Based Object Proposals on PETS,
PETS16(1265-1272)
IEEE DOI 1612
BibRef

Hussein, M.[Mohamed], Porikli, F.M.[Fatih M.], Li, R.[Rui], Arslan, S.[Suayb],
CrossTrack: Robust 3D tracking from two cross-sectional views,
CVPR11(1041-1048).
IEEE DOI 1106
BibRef

Ma, B., Huang, L., Shen, J., Shao, L., Yang, M.H., Porikli, F.M.,
Visual Tracking Under Motion Blur,
IP(25), No. 12, December 2016, pp. 5867-5876.
IEEE DOI 1612
image motion analysis BibRef

Huang, L., Ma, B., Shen, J., He, H., Shao, L., Porikli, F.M.[Fatih M.],
Visual Tracking by Sampling in Part Space,
IP(26), No. 12, December 2017, pp. 5800-5810.
IEEE DOI 1710
image sampling, object tracking, probability sampling, Part space, BibRef

Ma, B., Hu, H., Shen, J., Zhang, Y., Porikli, F.M.[Fatih M.],
Linearization to Nonlinear Learning for Visual Tracking,
ICCV15(4400-4407)
IEEE DOI 1602
Dictionaries BibRef

Fatemeh Razavi, S., Sajedi, H., Ebrahim Shiri, M.,
Integration of colour and uniform interlaced derivative patterns for object tracking,
IET-IPR(10), No. 5, 2016, pp. 381-390.
DOI Link 1604
image colour analysis BibRef

Liu, W., Chan, A.B., Lau, R.W.H., Manocha, D.,
Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking,
CirSysVideo(25), No. 3, March 2015, pp. 399-410.
IEEE DOI 1503
Adaptation models BibRef

He, S.F.[Sheng-Feng], Yang, Q.X.[Qing-Xiong], Lau, R.W.H.[Rynson W.H.], Yang, M.H.[Ming-Hsuan],
Fast Weighted Histograms for Bilateral Filtering and Nearest Neighbor Searching,
CirSysVideo(26), No. 5, May 2016, pp. 891-902.
IEEE DOI 1605
Computational complexity. locality sensitive histogram (LSH). Spatial information in histogram for tracking. BibRef

He, S.F.[Sheng-Feng], Lau, R.W.H.[Rynson W.H.], Yang, Q.X.[Qing-Xiong], Wang, J.[Jiang], Yang, M.H.[Ming-Hsuan],
Robust Object Tracking via Locality Sensitive Histograms,
CirSysVideo(27), No. 5, May 2017, pp. 1006-1017.
IEEE DOI 1705
BibRef
Earlier: A1, A3, A2, A4, A5:
Visual Tracking via Locality Sensitive Histograms,
CVPR13(2427-2434)
IEEE DOI 1309
Color, Histograms, Lighting, Robustness, Target tracking, Visualization, Illumination invariant, locality sensitive histograms (LSHs), multiregion tracking, visual tracking. BibRef

Li, Y.[Yang], Zhang, Y.F.[Ya-Fei], Xu, Y.L.[Yu-Long], Wang, J.B.[Jia-Bao], Miao, Z.[Zhuang],
Robust Scale Adaptive Kernel Correlation Filter Tracker With Hierarchical Convolutional Features,
SPLetters(23), No. 8, August 2016, pp. 1136-1140.
IEEE DOI 1608
filtering theory BibRef

Xu, Y.L.[Yu-Long], Li, Y.[Yang], Wang, J.B.[Jia-Bao], Miao, Z.A.[Zhu-Ang], Li, H.[Hang], Zhang, Y.F.[Ya-Fei],
Feature Adaptive Correlation Tracking,
IEICE(E100-D), No. 3, March 2017, pp. 594-597.
WWW Link. 1703
BibRef

Xu, Y.L.[Yu-Long], Wang, J.B.[Jia-Bao], Li, H.[Hang], Li, Y.[Yang], Miao, Z.[Zhuang], Zhang, Y.[Yafei],
Patch-based Scale Calculation for Real-time Visual Tracking,
SPLetters(23), No. 1, January 2016, pp. 40-44.
IEEE DOI 1601
correlation methods BibRef

Xu, Y.L.[Yu-Long], Miao, Z.[Zhuang], Wang, J.B.[Jia-Bao], Li, Y.[Yang], Li, H.[Hang], Zhang, Y.F.[Ya-Fei], Xu, W.[Weiguang], Pan, Z.[Zhisong],
Combining Color Features for Real-Time Correlation Tracking,
IEICE(E100-D), No. 1, January 2017, pp. 225-228.
WWW Link. 1701
BibRef

Li, Y.[Yang], Zhu, J.K.[Jian-Ke],
A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration,
VOT14(254-265).
Springer DOI 1504
BibRef

o Zhou, Y.[Yu], Bai, X.[Xiang], Liu, W.Y.[Wen-Yu], Latecki, L.J.[Longin Jan],
Similarity Fusion for Visual Tracking,
IJCV(118), No. 3, July 2016, pp. 337-363.
Springer DOI 1608
BibRef

Li, C.L.[Cheng-Long], Cheng, H., Hu, S.[Shiyi], Liu, X., Tang, J.[Jin], Lin, L.,
Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking,
IP(25), No. 12, December 2016, pp. 5743-5756.
IEEE DOI 1612
Bayes methods BibRef

Li, C.L.[Cheng-Long], Sun, X., Wang, X., Zhang, L., Tang, J.[Jin],
Grayscale-Thermal Object Tracking via Multitask Laplacian Sparse Representation,
SMCS(47), No. 4, April 2017, pp. 673-681.
IEEE DOI 1704
Computational modeling BibRef

Li, C.L.[Cheng-Long], Hu, S.[Shiyi], Gao, S.[Sihan], Tang, J.[Jin],
Real-Time Grayscale-Thermal Tracking via Laplacian Sparse Representation,
MMMod16(II: 54-65).
Springer DOI 1601
BibRef

Ye, M.Q.[Ming-Quan], Chang, H.[Hong], Chen, X.L.[Xi-Lin],
Online Visual Tracking via Coupled Object-Context Dictionary,
BMVC15(xx-yy).
DOI Link 1601
BibRef

He, Z., Yi, S., Cheung, Y.M., You, X., Tang, Y.Y.,
Robust Object Tracking via Key Patch Sparse Representation,
Cyber(47), No. 2, February 2017, pp. 354-364.
IEEE DOI 1702
computer vision BibRef

Guo, J., Xu, T., Shen, Z., Shi, G.,
Visual Tracking Via Sparse Representation With Reliable Structure Constraint,
SPLetters(24), No. 2, February 2017, pp. 146-150.
IEEE DOI 1702
image representation BibRef

Guo, J., Xu, T.,
Deep Ensemble Tracking,
SPLetters(24), No. 10, October 2017, pp. 1562-1566.
IEEE DOI 1710
convolution, feature extraction, feedforward neural nets, distance metric, template matching problem. BibRef

Wang, Y.[Yawen], Chen, H.C.[Hong-Chang], Li, S.M.[Shao-Mei], Zhang, J.P.[Jian-Peng], Gao, C.[Chao],
Object tracking by color distribution fields with adaptive hierarchical structure,
VC(33), No. 2, February 2017, pp. 235-247.
WWW Link. 1702
BibRef

Ye, S.[Shuang], Liu, C.C.[Chuan-Cai], Li, Z.W.[Zhi-Wu], Al-Ahmari, A.[Abdulrahman],
Iterative optimization for frame-by-frame object pose tracking,
JVCIR(44), No. 1, 2017, pp. 72-81.
Elsevier DOI 1703
Object detection BibRef

Yi, S.[Sihua], Liu, W.Y.[Wen-Yu],
Multiscale salient region-based visual tracking,
MVA(28), No. 3-4, May 2017, pp. 327-339.
WWW Link. 1704
BibRef

Abdechiri, M.[Marjan], Faez, K.[Karim], Amindavar, H.[Hamidreza], Bilotta, E.[Eleonora],
Chaotic target representation for robust object tracking,
SP:IC(54), No. 1, 2017, pp. 23-35.
Elsevier DOI 1704
Chaos theory BibRef

Hanif, M.S.[Muhammad Shehzad], Ahmad, S.[Shafiq], Khurshid, K.[Khurram],
On the improvement of foreground-background model-based object tracker,
IET-CV(11), No. 6, September 2017, pp. 488-496.
DOI Link 1709
BibRef

Shen, W.C.[Wei-Chao], Wu, Y.W.[Yu-Wei], Jia, Y.D.[Yun-De],
Compact discriminative object representation via weakly supervised learning for real-time visual tracking,
IET-CV(11), No. 7, October 2017, pp. 585-595.
DOI Link 1709
BibRef


Wang, M.M.[Meng-Meng], Liu, Y.[Yong], Huang, Z.[Zeyi],
Large Margin Object Tracking with Circulant Feature Maps,
CVPR17(4800-4808)
IEEE DOI 1711
Structured SVM Tracking. Algorithm design and analysis, Optimization, Real-time systems, Support vector machines, Target tracking, Training, Visualization BibRef

Wu, D.[Di], Zou, W.B.[Wen-Bin], Li, X.[Xia], Zhao, Y.[Yong],
Kernalised Multi-resolution Convnet for Visual Tracking,
DeepLearn-T17(2241-2248)
IEEE DOI 1709
Correlation, Feature extraction, Kernel, Object tracking, Target tracking, Training, Visualization BibRef

Navaei, P.[Pouria], Eslami, M.[Mohammad], Torkamani-Azar, F.[Farah],
Object Tracking via Pixel-Wise and Block-Wise Sparse Representation,
SCIA17(I: 273-284).
Springer DOI 1706
BibRef

Le, X.S.[Xue-Song], Gonzalez, R.[Ruben],
A Consistent, Real-Time Image Segmentation for Object Tracking,
DICTA16(1-7)
IEEE DOI 1701
Clustering algorithms BibRef

Li, Z.[Zheng], Yang, J.F.[Jian-Fei], Zha, J.[Juan], Wang, C.D.[Chang-Dong], Zheng, W.S.[Wei-Shi],
Online visual tracking via correlation filter with convolutional networks,
VCIP16(1-4)
IEEE DOI 1701
Computational modeling BibRef

Yang, J.[Jing], Zhang, K.H.[Kai-Hua], Liu, Q.S.[Qing-Shan],
Robust Object Tracking by Online Fisher Discrimination Boosting Feature Selection,
CVIU(153), No. 1, 2016, pp. 100-108.
Elsevier DOI 1612
Visual tracking BibRef

Zhang, K.H.[Kai-Hua], Zhang, L.[Lei], Liu, Q.S.[Qing-Shan], Zhang, D.[David], Yang, M.H.[Ming-Hsuan],
Fast Visual Tracking via Dense Spatio-temporal Context Learning,
ECCV14(V: 127-141).
Springer DOI 1408
See also Fast Compressive Tracking. BibRef

Bertinetto, L.[Luca], Valmadre, J.[Jack], Golodetz, S.[Stuart], Miksik, O.[Ondrej], Torr, P.H.S.[Philip H. S.],
Staple: Complementary Learners for Real-Time Tracking,
CVPR16(1401-1409)
IEEE DOI 1612
BibRef

Valmadre, J.[Jack], Bertinetto, L.[Luca], Henriques, J.F.[João F.], Vedaldi, A.[Andrea], Torr, P.H.S.[Philip H. S.],
End-to-End Representation Learning for Correlation Filter Based Tracking,
CVPR17(5000-5008)
IEEE DOI 1711
BibRef
Earlier: A2, A1, A3, A4, A5:
Fully-Convolutional Siamese Networks for Object Tracking,
VOT16(II: 850-865).
Springer DOI 1611
Computer architecture, Correlation, Filtering algorithms, Object tracking, Optimization, Target tracking, Training BibRef

Wang, W., Duan, K., Tian, T.P.[Tai-Peng], Yu, T.[Ting], Lim, S.N.[Ser Nam], Qi, H.,
Visual tracking based on object appearance and structure preserved local patches matching,
AVSS16(145-151)
IEEE DOI 1611
Collaboration BibRef

Sun, L., Qu, K., Xu, S., Qiu, S.,
Visual tracking by the combination of global detector and local image patch matching,
ICIP16(3474-3478)
IEEE DOI 1610
Detectors BibRef

Shirazi, S., Sanderson, C.[Conrad], McCool, C., Harandi, M.T.,
Bags of Affine Subspaces for Robust Object Tracking,
DICTA15(1-7)
IEEE DOI 1603
affine transforms BibRef

Aribi, Y.[Yassine], Wali, A.[Ali], Alimi, A.M.[Adel M.],
Automated Fast Marching Method for Segmentation and Tracking of Region of Interest in Scintigraphic Images Sequences,
CAIP15(II:725-736).
Springer DOI 1511
BibRef

Liu, K.[Kui], Liu, B.W.[Bing-Wei], Blasch, E.P.[Erik P.], Shen, D.[Dan], Wang, Z.H.[Zhong-Hai], Ling, H.B.[Hai-Bin], Chen, G.[Genshe],
A cloud infrastructure for target detection and tracking using audio and video fusion,
PBVS15(74-81)
IEEE DOI 1510
Computer vision BibRef

Li, Y.[Yang], Zhu, J.[Jianke], Hoi, S.C.H.[Steven C.H.],
Reliable Patch Trackers: Robust visual tracking by exploiting reliable patches,
CVPR15(353-361)
IEEE DOI 1510
BibRef

Hong, Z.B.[Zhi-Bin], Chen, Z.[Zhe], Wang, C.H.[Chao-Hui], Mei, X.[Xue], Prokhorov, D.[Danil], Tao, D.C.[Da-Cheng],
MUlti-Store Tracker (MUSTer): A cognitive psychology inspired approach to object tracking,
CVPR15(749-758)
IEEE DOI 1510
BibRef

Zhu, H.[Hao], Li, Y.[Yi],
Fast Inference of Contaminated Data for Real Time Object Tracking,
ACCV14(V: 275-289).
Springer DOI 1504
BibRef

Wang, H.[Han], Bai, Y.C.[Yan-Cheng], Tang, M.[Ming],
Robust Maximum Margin Correlation Tracking,
AutoSystems14(487-500).
Springer DOI 1504
BibRef

Qian, Z.L.[Zeng-Lei], Liang, J.Z.[Jiu-Zhen], Niu, Z.G.[Zhi-Guo], Xu, Y.C.[Yong-Cun], Wu, Q.[Qin],
A Fast Object Detecting-Tracking Method in Compressed Domain,
VSegCV14(344-359).
Springer DOI 1504
BibRef

Zhu, G.[Gao], Porikli, F.M.[Fatih M.], Ming, Y.S.[Yan-Sheng], Li, H.D.[Hong-Dong],
Lie-Struck: Affine Tracking on Lie Groups Using Structured SVM,
WACV15(63-70)
IEEE DOI 1503
See also Struck: Structured Output Tracking with Kernels. BibRef

Bagheri, Z.M., Wiederman, S.D., Cazzolato, B.S., Grainger, S., O'Carroll, D.C.,
A Biologically Inspired Facilitation Mechanism Enhances the Detection and Pursuit of Targets of Varying Contrast,
DICTA14(1-5)
IEEE DOI 1502
object detection Detection and pursuit based on insect vision. BibRef

Tunah, E.[Emre], Oz, S.[Sinan],
A real-time, semi-automatic method for discriminant target initialization in thermal imagery,
ICIP14(5117-5121)
IEEE DOI 1502
Computer vision BibRef

Crivellaro, A.[Alberto], Rad, M., Verdie, Y., Yi, K.M., Fua, P., Lepetit, V.[Vincent],
A Novel Representation of Parts for Accurate 3D Object Detection and Tracking in Monocular Images,
ICCV15(4391-4399)
IEEE DOI 1602
Augmented reality BibRef

Crivellaro, A.[Alberto], Lepetit, V.[Vincent],
Robust 3D Tracking with Descriptor Fields,
CVPR14(3414-3421)
IEEE DOI 1409
3D Tracking; Dense Descriptor; Image Registration; Specular Environment BibRef

Lee, D.Y.[Dae-Youn], Sim, J.Y.[Jae-Young], Kim, C.S.[Chang-Su],
Fast object tracking using color histograms and patch differences,
ICIP13(3905-3908)
IEEE DOI 1402
Object tracking BibRef

Zeng, F.X.[Fan-Xiang], Liu, X.[Xuan], Huang, Z.T.[Zhi-Tong], Ji, Y.F.[Yue-Feng],
Robust and efficient object tracking algorithm under illumination changes based on joint gradient-intensity histogram,
ICIP13(2455-2459)
IEEE DOI 1402
Joint gradient-intensity histogram BibRef

Zhou, Z.[Zhi], Wang, Y.[Yue], Teoh, E.K.[Eam Khwang],
Robust object tracking using Bi-model,
ICIP13(3103-3107)
IEEE DOI 1402
Object tracking; Random Ferns; SURF; object detection; partial occlusion BibRef

Santhaseelan, V.[Varun], Asari, K.V.[K. Vijayan],
Tracking in Wide Area Motion Imagery Using Phase Vector Fields,
CNWASA13(823-830)
IEEE DOI 1309
feature tracking BibRef

Fogle, R.[Ryan], Salva, K.[Karl], Vasquez, J.[Juan], Kessler, A.[Ash],
Multi-objective Detector and Tracker Parameter Optimization via NSGA-II,
AAVE15(4-9)
IEEE DOI 1503
BibRef

Jackovitz, K., Asari, V., Balster, E., Vasquez, J., Hytla, P.,
Registration of region of interest for object tracking applications in wide area motion imagery,
AIPR12(1-8)
IEEE DOI 1307
image motion analysis BibRef

Su, F.[Feng], Fang, G.[Gu],
Moving object tracking using an adaptive colour filter,
ICARCV12(1048-1052).
IEEE DOI 1304
BibRef

Kooi, T.[Thijs], de Sorbier, F.[Francois], Saito, H.[Hideo],
Colour Descriptors for Tracking in Spatial Augmented Reality,
DTCE12(II:387-399).
Springer DOI 1304
BibRef

Ernst, J.[Jan], Singh, M.K.[Maneesh K.], Ramesh, V.[Visvanathan],
Discrete texture traces: Topological representation of geometric context,
CVPR12(422-429).
IEEE DOI 1208
BibRef

Wang, S.[Shu], Lu, H.C.[Hu-Chuan], Yang, G.[Guang],
Complementary Visual Tracking,
ICIP11(477-480).
IEEE DOI 1201
BibRef

Nasrullah, S.[Sheikh], Khan, D.A.[Dawood Ashraf],
A novel algorithm for real time moving object tracking,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

Singh, R.[Roshan], Purwar, R.K.[Ravindra Kumar], Rajpal, N.[Navin],
A better approach for object tracking using dual-tree complex wavelet transform,
ICIIP11(1-5).
IEEE DOI 1112
BibRef

Mohr, D.[Daniel], Zachmann, G.[Gabriel],
Segmentation-Free, Area-Based Articulated Object Tracking,
ISVC11(I: 112-123).
Springer DOI 1109
BibRef

Zhang, Q.[Qi], Zhang, J.L.[Jin-Lin], Rui, T.[Ting],
Target Tracking Based on Wavelet Features in the Dynamic Image Sequence,
ICIG11(811-815).
IEEE DOI 1109
BibRef

Liu, Y.[Yu], Zhou, W.[Wei], Yin, H.G.[Hua-Gang], Yu, N.H.[Neng-Hai],
Tracking Based on SURF and Superpixel,
ICIG11(714-719).
IEEE DOI 1109
BibRef

Amberg, B.[Brian], Vetter, T.[Thomas],
GraphTrack: Fast and globally optimal tracking in videos,
CVPR11(1209-1216).
IEEE DOI 1106
BibRef

Bilodeau, G.A.[Guillaume-Alexandre], Ghali, R.[Ramla], Desgent, S.[Sebastien], Langlois, P.[Pierre], Farah, R.[Rana], St-Onge, P.L.[Pier-Luc], Duss, S.[Sandra], Carmant, L.[Lionel],
Where is the rat? Tracking in low contrast thermographic images,
OTCBVS11(55-60).
IEEE DOI 1106
BibRef

Fan, L.X.[Li-Xin], Riihimaki, M.[Mikko], Kunttu, I.[Iivari],
A feature-based object tracking approach for realtime image processing on mobile devices,
ICIP10(3921-3924).
IEEE DOI 1009
BibRef

Wang, Q.[Qing], Chen, F.[Feng], Xu, W.L.[Wen-Li],
Saliency selection for robust visual tracking,
ICIP10(2785-2788).
IEEE DOI 1009
BibRef

Le, T.L.[Thi-Lan], Thonnat, M.[Monique], Boucher, A.[Alain], Brémond, F.[François],
Appearance based retrieval for tracked objects in surveillance videos,
CIVR09(Article No 40).
DOI Link 0907
BibRef

Nuernberger, B., Gauglitz, S., Hollerer, T., Turk, M.A.,
Investigating viewpoint visualizations for click & go navigation,
3DUI14(159-160)
IEEE DOI 1406
computerised navigation BibRef

Gauglitz, S.[Steffen], Foschini, L.[Luca], Turk, M.A.[Matthew A.], Hollerer, T.[Tobias],
Efficiently selecting spatially distributed keypoints for visual tracking,
ICIP11(1869-1872).
IEEE DOI 1201
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Gruber, L.[Lukas], Zollmann, S.[Stefanie], Wagner, D.[Daniel], Schmalstieg, D.[Dieter], Hollerer, T.[Tobias],
Optimization of Target Objects for Natural Feature Tracking,
ICPR10(3607-3610).
IEEE DOI 1008
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Nguyen, H.V.[Hien Van], Banerjee, A.[Amit], Chellappa, R.[Rama],
Tracking via object reflectance using a hyperspectral video camera,
OTCBVS10(44-51).
IEEE DOI 1006
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Stavens, D.[David], Thrun, S.[Sebastian],
Unsupervised learning of invariant features using video,
CVPR10(1649-1656).
IEEE DOI 1006
Learn the features based on tracked image patches. BibRef

Chen, W.S.[Wei-Shi], Ning, H.S.[Huan-Sheng], Li, J.[Jing],
Detecting and tracking of small moving target in avian radar images,
IASP10(473-476).
IEEE DOI 1004
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Huang, J.H.[Jun-Heng], Du, Y.[Yu], Quan, G.R.[Guang-Ri], Zhu, D.J.[Dong-Jie],
Visual Object Tracking with Pyramid, Random Subspace Features,
CISP09(1-4).
IEEE DOI 0910
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Ming, A.L.[An-Long], Ma, H.D.[Hua-Dong],
Frame-skipping tracking for single object with global motion detection,
ICPR08(1-4).
IEEE DOI 0812
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Yin, S.M.[Shi-Min], Yoo, H.J.[Haan Joo], Choi, J.Y.[Jin Young],
Enhanced Measurement Model for Subspace-Based Tracking,
ICPR10(3492-3495).
IEEE DOI 1008
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Maki, A.[Atsuto], Hatanaka, Y.[Yosuke], Matsuyama, T.[Takashi],
Tracking features on a moving object using local image bases,
ICPR08(1-5).
IEEE DOI 0812
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Banerjee, P.[Prithviraj], Pinz, A.[Axel], Sengupta, S.[Somnath],
Model generation for robust object tracking based on temporally stable regions,
Motion08(1-6).
IEEE DOI 0801
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Ritch, M.[Mark], Canagarajah, C.N.[C. Nishan],
Motion-Based Video Object Tracking in the Compressed Domain,
ICIP07(VI: 301-304).
IEEE DOI 0709
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Dore, A., Regazzoni, C.S., Musso, M.,
MAP Particle Selection in Shape-Based Object Tracking,
ICIP07(V: 341-344).
IEEE DOI 0709
BibRef

Zhang, B., Jiang, J., Xiao, G.,
Video Object Tracking Via Central Macro-blocks and Directional Vectors,
ICIAR07(593-601).
Springer DOI 0708
BibRef

Chen, Z.Z.[Ze-Zhi], Wallace, A.M.[Andrew M.],
Active Segmentation and Adaptive Tracking Using Level Sets,
BMVC07(xx-yy).
PDF File. 0709
BibRef
And:
Improved Object Tracking Using an Adaptive Colour Model,
EMMCVPR07(280-294).
Springer DOI 0708
BibRef

Serratosa, F.[Francesc], Amézquita Gómez, N.[Nicolás], Alquézar, R.[René],
Experimental Assessment of Probabilistic Integrated Object Recognition and Tracking Methods,
CIARP09(817-824).
Springer DOI 0911
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Amézquita Gómez, N.[Nicolás], Alquézar, R.[René], Serratosa, F.[Francesc],
Dealing with occlusion in a probabilistic object tracking method,
OTCBVS08(1-8).
IEEE DOI 0806
BibRef
Earlier:
A New Method for Object Tracking Based on Regions Instead of Contours,
OTCBVS07(1-8).
IEEE DOI 0706
BibRef

Serratosa, F.[Francesc], Amézquita Gómez, N.[Nicolás], Alquézar, R.[René],
Combining Neural Networks and Clustering Techniques for Object Recognition in Indoor Video Sequences,
CIARP06(399-405).
Springer DOI 0611
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Amézquita Gómez, N.[Nicolás], Alquézar, R.[René], Serratosa, F.[Francesc],
Object Recognition and Tracking in Video Sequences: A New Integrated Methodology,
CIARP06(481-490).
Springer DOI 0611
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Wang, X.Y.[Xiao-Yu], Hua, G.[Gang], Han, T.X.[Tony X.],
Discriminative Tracking by Metric Learning,
ECCV10(III: 200-214).
Springer DOI 1009
BibRef

Han, T.X.[Tony X.], Liu, M.[Ming], Huang, T.S.[Thomas S.],
A Drifting-proof Framework for Tracking and Online Appearance Learning,
WACV07(10-10).
IEEE DOI 0702
Tracking based on appearance. BibRef

Mikulis, B., Rao, R.,
Object Labeling for 3-D Cross-Sectional Data using Trajectory Tracking,
ICIP06(2217-2220).
IEEE DOI 0610
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Yelal, M.R., Sasi, S., Shaffer, G.R., Kumar, A.K.,
Color-Based Signal Light Tracking in Real-Time Video,
AVSBS06(67-67).
IEEE DOI 0611
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Li, X.K.[Xiao-Kun], Kwan, C.[Chiman], Mei, G.[Gang], Li, B.X.[Bao-Xin],
A Generic Approach to Object Matching and Tracking,
ICIAR06(I: 839-849).
Springer DOI 0610
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Zhou, Y.[Yue], Huang, T.S.[Thomas S.],
Weighted Bayesian Network for Visual Tracking,
ICPR06(I: 523-526).
IEEE DOI 0609
BibRef

Black, J., Makris, D., Ellis, T.,
Validation of blind region learning and tracking,
PETS05(9-16).
IEEE DOI 0602
BibRef

Miezianko, R.[Roland], Pokrajac, D.[Dragoljub],
People detection in low resolution infrared videos,
OTCBVS08(1-6).
IEEE DOI 0806
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Latecki, L.J.[Longin Jan], Miezianko, R.[Roland], Pokrajac, D.,
Tracking motion objects in infrared videos,
AVSBS05(99-104).
IEEE DOI 0602
BibRef

Freedman, D.[Daniel], Turek, M.W.[Matthew W.],
Illumination-Invariant Tracking via Graph Cuts,
CVPR05(II: 10-17).
IEEE DOI 0507
BibRef

Freedman, D.[Daniel], Drineas, P.[Petros],
Energy Minimization via Graph Cuts: Settling What is Possible,
CVPR05(II: 939-946).
IEEE DOI 0507
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Zhang, T.[Tao], Freedman, D.[Daniel],
Tracking Objects Using Density Matching and Shape Priors,
ICCV03(1056-1062).
IEEE DOI 0311
Combine density match (similarity of image) with shape. BibRef

Guo, Y.[Yu], Hu, W.[Weili],
Iterative learning control of wheeled robot trajectory tracking,
ICARCV04(III: 1684-1689).
IEEE DOI 0412
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Loh, A.P., Guan, F., Ge, S.S.,
Motion estimation using audio and video fusion,
ICARCV04(III: 1569-1574).
IEEE DOI 0412
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Birkbeck, N., Jagersand, M.,
Visual tracking using active appearance models,
CRV04(2-9).
IEEE DOI 0408
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Léonard, S.[Simon], Jägersand, M.[Martin],
Tracking the Pose of Objects through Subspace,
SCIA03(371-378).
Springer DOI 0310
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Green, I.A., Nelson, R.C.,
Propagating segmented regions during a camera saccade,
ICPR04(I: 640-643).
IEEE DOI 0409
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Nelson, R.C., Green, I.A.,
Tracking objects using recognition,
ICPR02(II: 1025-1030).
IEEE DOI 0211
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Huang, Y.[Yu], Huang, T.S., Niemann, H.,
A region-based method for model-free object tracking,
ICPR02(I: 592-595).
IEEE DOI 0211
BibRef

Ude, A., Atkeson, C.G.,
Probabilistic detection and tracking at high frame rates using affine warping,
ICPR02(II: 6-9).
IEEE DOI 0211
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Behrad, A., Motamedi, S.A., Madani, K., Esnaashari, M.,
A new algorithm for target tracking using fuzzy-edge-hased feature matching and robust statistic,
ICIP02(I: 577-580).
IEEE DOI 0210
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Rocha, J.[Jairo], Mir, A.[Arnau],
Articulated Object Tracking via a Genetic Algorithm,
EMMCVPR01(134-149).
Springer DOI 0205
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Pérez, P., Hue, C., Vermaak, J., Gangnet, M.,
Color-Based Probabilistic Tracking,
ECCV02(I: 661-675).
Springer DOI 0205
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Cayouette, F.[Francois], Cooperstock, J.R.[Jeremy R.],
Generic Real-Time Tracking Method on Semi-Dynamic Scenes,
ICPR06(I: 711-714).
IEEE DOI 0609
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Arseneau, S., Cooperstock, J.R.,
Automated feature registration for robust tracking methods,
ICPR02(II: 1078-1081).
IEEE DOI 0211
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Spors, S., Rabenstein, R., Strobel, N.,
Joint Audio-video Object Tracking,
ICIP01(I: 393-396).
IEEE DOI 0108
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Toyama, K., Wu, Y.,
Bootstrap Initialization of Nonparametric Texture Models for Tracking,
ECCV00(II: 119).
Springer DOI 0003
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Deutscher, J., North, B., Bascle, B., Blake, A.,
Tracking through Singularities and Discontinuities by Random Sampling,
ICCV99(1144-1149).
IEEE DOI BibRef 9900

Yacoob, Y.[Yaser], Davis, L.S.[Larry S.],
Tracking Rigid Motion using a Compact-Structure Constraint,
ICCV99(198-205).
IEEE DOI BibRef 9900

Davies, D., Palmer, P.L., Mirmehdi, M.,
Detection and Tracking of Very Small Low Contrast Objects,
BMVC98(xx-yy). BibRef 9800

Pasqual, A.[Ajith], Takeshima, H.[Hidenori], Aizawa, K.[Kiyoharu],
Software Based Object Tracking with Visual Feature Integration,
ICIP99(II:963-967).
IEEE DOI Original had Mitsutoshi Hatori. BibRef 9900

Pasqual, A., Aizawa, K., Hatori, M.,
Selection/substitution of Visual Features for Object Tracking,
MVA98(xx-yy). BibRef 9800

Huwer, S., Niemann, H.,
2-D-Object Tracking Based on Projection-Histograms,
ECCV98(I: 861).
Springer DOI BibRef 9800

de la Torre, F., Yacoob, Y., Davis, L.S.,
A probabilistic Framework for Rigid and Non-rigid Appearance Based Tracking and Recognition,
AFGR00(491-498).
IEEE DOI 0003
Head Tracking. BibRef

de la Torre, F., Gong, S., McKenna, S.J.,
View Alignment with Dynamically Updated Affine Tracking,
AFGR98(510-515).
IEEE DOI BibRef 9800
And:
View-Based Adaptive Affine Tracking,
ECCV98(I: 828).
Springer DOI BibRef

Bauer, N.[Norbert], Frischholz, R.W.[Robert W.],
Three Dimensional Automatic Motion Analysis,
ConferenceISATA 28th Symposium, Proceedings on Robotics, Motion and Machine Vision, 1995. BibRef 9500

Prokopowicz, P.N., Swain, M.J., Kahn, R.E.,
Task and Environment-Sensitive Tracking,
WVB94(73-78). BibRef 9400

Stenberg, M., Nilsson, K.,
3-D Tracking of Point: Symmetric Particles by Videomicroscopy,
SSAB97(Image Processing) 9703
BibRef

Richardson, H.S., and Blostein, S.D.,
A Sequential Detection Framework for Feature Tracking within Computational Constraints,
CVPR92(861-864).
IEEE DOI Tracking within the spatio-temporal image. Builds on the following paper. BibRef 9200

Borri, A., Bucci, G., Nesi, P.,
A Robust Tracking of 3D Motion,
ECCV94(A:181-188).
Springer DOI BibRef 9400

Andersson, M., and Lundquist, A.,
Tracking Lines in a Stereo Image Sequence,
SCIA91(88-97). BibRef 9100
And: ISRN KTH/NA/P--91/16--SE, August 1991. BibRef

Andersson, M.,
Tracking Methods in Computer Vision,
Ph.D.Dept. of Numerical Analysis and Computing Science, Royal Institute of Technology, May 1994. BibRef 9405 ISRN KTH/NA/P-94/13-SE. BibRef

Andersson, M., Eklundh, J.O., and Kakimoto, A.,
Rigid Body Motion Analysis from the Correspondence of Interest Points,
SCIA89(786-791). BibRef 8900

Lundquist, A.,
Tracking Lines Using a Rigid Motion Assumption,
ISRN KTH/NA/P--91/04--SE, 1991. BibRef 9100

Sarkar, S.,
Tracking 2D Structures Using Perceptual Organizational Principles,
SCV95(283-288).
IEEE DOI BibRef 9500
And: Tech. Rep. 11-94-01, Image Analysis Research Laboratory, Univ. of South FloridaNovember 1994. Code:
WWW Link. BibRef

O'Donnell, T., Gupta, A., Boult, T.E.,
A periodic generalized cylinder model with local deformations for tracking closed contours exhibiting repeating motion,
ICPR94(A:397-402).
IEEE DOI 9410
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Chan, M.[Michael], Metaxas, D.N.[Dimitri N.], Dickinson, S.J.[Sven J.],
Physics-Based Tracking of 3D Objects in 2D Image Sequences,
ICPR94(A:432-436).
IEEE DOI BibRef 9400
And:
A New Approach to Tracking 3D Objects in 2D Image Sequences,
AAAI-94(960-965). BibRef

Sinha, P.[Pawan],
Pattern Motion Perception: Feature Tracking or Integration of Component Motions?,
MIT AI Memo-1415, October 1994.
WWW Link. BibRef 9410

Tang, H.M.[Hui-Ming], Xu, S.R.[Sheng-Rong], Hong, X.Y.[Xiao-Yan],
An approach for analyzing the traces of moving objects,
ICPR92(III:526-529).
IEEE DOI 9208
BibRef

Berger, M.O., Laprie, Y.,
Global active method for automatic formant tracking guided by local processing,
ICPR92(III:598-601).
IEEE DOI 9208
BibRef

Wu, C.K.[Cheng-Ke], Lu, X.R.[Xin-Ru], Xiao, D.B.[Dong-Buo], Jiang, Y.H.[Yong-Hua],
An effective regional descriptor and its application to target recognition,
ICPR90(I: 671-673).
IEEE DOI 9006
BibRef

Hong, Z., Zhu, P.,
An Improved SSDA Applied in Target Tracking,
ICPR88(II: 767-769).
IEEE DOI BibRef 8800

Samy, R.A., Bozzo, C.A.,
Matching Images Using Motion Features,
ICPR86(978-980). BibRef 8600
Earlier:
Dynamic Scene Analysis and Video Target Tracking,
ICPR84(993-995). BibRef

Fong, Y.S.[Yu-Shan], and Brown, D.H.[David H.],
A Centroid Tracking Scheme in a Weighted Coordinate System,
CVPR85(219-221). Clarkson Univ. A weighted mask is convolved with the segmented image mask. The minimum is the best match. BibRef 8500

Hunt, A.E.[Alison E.], and Sanderson, A.C.[Arthur C.],
Vision-Based Predictive Robotic Tracking of a Moving Target,
CMU-RI-TR-82-15, 1982. CMU Robotics Institute. Simple tracking of slow moving objects. Uses SRI vision module and a PUMA 500, these give the time constraints of one second between robot positions updates. It uses 5 different position prediction methods and chooses the best one based on its performance so far (how well it has really predicted the position). BibRef 8200

Jenkin, M.R.M., (Toronto),
Tracking Three Dimensional Moving Light Displays,
Motion83(66-70). Moving Light Displays. See also Applying Temporal Constraints to the Dynamic Stereo Problem. BibRef 8300

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Region and Object Tracking, Templates, Template Update, Template Drift .


Last update:Nov 18, 2017 at 20:56:18