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 Version. 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 Version. BibRef 8710

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

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

Watson, III, T.M.[Thomas M.],
Nonparametric imaging tracker,
US_Patent4,868,871, Sep 19, 1989
WWW Version. 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.,
Hierarchical Segmentation-Based Approach to Motion Analysis,
IVC(11), No. 9, November 1993, pp. 570-576.
WWW Version.
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 Abstract.
IEEE DOI Link 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 Version. 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 Link BibRef 9506
Earlier:
Automatic Feature Point Extraction and Tracking in Image Sequences for Unknown Camera Motion,
ICCV93(335-339).
IEEE DOI Link 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 Link 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 Link BibRef 9510

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

Yao, Y.S., Chellappa, R.,
Dynamic Feature Point Tracking in an Image Sequence,
ICPR94(A:654-657).
IEEE DOI Link 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.
WWW Version. 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 Link 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., Raviv, D.,
2D Feature Tracking Algorithm for Motion Analysis,
PR(28), No. 8, August 1995, pp. 1103-1126.
WWW Version. BibRef 9508

Anguita, D., Parodi, G., Zunino, R.,
Neural Structures for Visual-Motion Tracking,
MVA(8), No. 5, 1995, pp. 275-288.
HTML Version. 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.
WWW Version. 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.
HTML Version. 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.
WWW Version. 9710
BibRef
Earlier: A2, A1, A3: SCV95(241-246).
IEEE Top Reference. 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 Version. BibRef 0601
And:
Statistically comparing and matching plural sets of digital data,
US_Patent7,302,084, Nov 27, 2007
WWW Version. 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 Version. 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 Link 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 Version. 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 Link 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.
WWW Version. 0001
BibRef
Earlier:
Detection and Location of Moving Objects Using Deterministic Relaxation Algorithms,
ICPR96(I: 201-205).
IEEE DOI Link 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 Link 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 Link 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 Abstract. 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.
WWW Version. 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.
WWW Version. 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 Abstract. 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 Link 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 Abstract. 0210
BibRef
Earlier: A2, A3, A1:
Estimation of Random Trajectories on Manifolds: Application to Object Tracking,
ICIP99(IV:103-107).
IEEE Abstract. 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.
WWW Version. 0206
BibRef

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

Krahnstoever, N.O., Sharma, R.,
Robust probabilistic estimation of uncertain appearance for model-based tracking,
Motion02(28-33).
IEEE Abstract. 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.
WWW Version. 0512
BibRef

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

Lu, C.G.[Cheng-Gang], Chi, Z.[Zheru], Chen, G.[Gang], Feng, D.[Dagan],
Geometric Analysis of Particle Motion in a Vector Image Field,
JMIV(26), No. 3, December 2006, pp. 301-307.
Springer DOI Link 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 Link 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 Link 0711
BibRef
Earlier:
Online learning of region confidences for object tracking,
PETS05(1-8).
IEEE DOI Link 0602
BibRef

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

Anjum, N.[Nadeem], Cavallaro, A.[Andrea],
Multifeature Object Trajectory Clustering for Video Analysis,
CirSysVideo(18), No. 11, November 2008, pp. 1555-1564.
IEEE DOI Link 0811
BibRef
Earlier:
Single camera calibration for trajectory-based behavior analysis,
AVSBS07(147-152).
IEEE DOI Link 0709
BibRef
And:
Unsupervised Fuzzy Clustering for Trajectory Analysis,
ICIP07(III: 213-216).
IEEE DOI Link 0709
BibRef

Zivkovic, Z.[Zoran], Cemgil, A.T.[Ali Taylan], Krose, B.[Ben],
Approximate Bayesian methods for kernel-based object tracking,
CVIU(113), No. 6, June 2009, pp. 743-749.
Elsevier DOI Link
WWW Version. 0904
Object tracking; Approximate Bayesian filtering BibRef

Zivkovic, Z.[Zoran], Krose, B.[Ben],
An EM-like algorithm for color-histogram-based object tracking,
CVPR04(I: 798-803).
IEEE Abstract. 0408
BibRef

Zivkovic, Z.[Zoran], van der Heijden, F.[Ferdinand],
Better features to track by estimating the tracking convergence region,
ICPR02(II: 635-638).
IEEE DOI Link 0211
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 Link 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 Link 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 Link
WWW Version. 0906
BibRef
Earlier:
An Approach to Trajectory Estimation of Moving Objects in the H.264 Compressed Domain,
PSIVT09(318-329).
Springer DOI Link 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 Link 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 Link 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.
WWW Version. 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.
WWW Version. 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 Link 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.
WWW Version. 1103
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.
WWW Version. 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.
WWW Version. 1104
BibRef

Miao, Q.[Quan], Wang, G.J.[Gui-Jin], Shi, C.B.[Chen-Bo], Lin, X.G.[Xing-Gang], Ruan, Z.W.[Zhi-Wei],
A new framework for on-line object tracking based on SURF,
PRL(32), No. 13, 1 October 2011, pp. 1564-1571.
Elsevier DOI Link
WWW Version. 1109
Object tracking; Keypoint matching; On-line boosting; Adaptive classifiers; SURF BibRef

Miao, Q.[Quan], Wang, G.J.[Gui-Jin], Lin, X.G.[Xing-Gang],
Implementation of Scale and Rotation Invariant On-Line Object Tracking Based on CUDA,
IEICE(E94-D), No. 12, December 2011, pp. 2549-2552.
WWW Version. 1112
BibRef

Miao, Q.[Quan], Wang, G.J.[Gui-Jin], Lin, X.G.[Xing-Gang], Wang, Y.M.[Yong-Ming], Shi, C.B.[Chen-Bo], Liao, C.[Chao],
Scale and rotation invariant feature-based object tracking via modified on-line boosting,
ICIP10(3929-3932).
IEEE DOI Link 1009
BibRef


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

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

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

Zhang, Q.[Qi], Zhang, J.[Jinlin], Rui, T.[Ting],
Target Tracking Based on Wavelet Features in the Dynamic Image Sequence,
ICIG11(811-815).
IEEE DOI Link 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 Link 1109
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 Link 1106
BibRef

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

Papoutsakis, K.E.[Konstantinos E.], Argyros, A.A.[Antonis A.],
Object Tracking and Segmentation in a Closed Loop,
ISVC10(I: 405-416).
Springer DOI Link 1011
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 Link 1009
BibRef

Wang, Q.[Qing], Chen, F.[Feng], Xu, W.L.[Wen-Li],
Saliency selection for robust visual tracking,
ICIP10(2785-2788).
IEEE DOI Link 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).
WWW Version. 0907
BibRef

Gauglitz, S.[Steffen], Foschini, L.[Luca], Turk, M.[Matthew], Hollerer, T.[Tobias],
Efficiently selecting spatially distributed keypoints for visual tracking,
ICIP11(1869-1872).
IEEE DOI Link 1201
BibRef

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 Link 1008
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 Link 1103
BibRef

Wang, S.[Shu], Lu, H.C.[Hu-Chuan], Yang, F.[Fan], Yang, M.H.[Ming-Hsuan],
Superpixel tracking,
ICCV11(1323-1330).
IEEE DOI Link 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 Link 1103
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 Link 1011
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 Link 1008
BibRef
And:
Object tracking by multi-cues spatial pyramid matching,
ICIP10(3957-3960).
IEEE DOI Link 1009
BibRef

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

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 Link 1006
BibRef

Stavens, D.[David], Thrun, S.[Sebastian],
Unsupervised learning of invariant features using video,
CVPR10(1649-1656).
IEEE DOI Link 1006
Learn the features based on tracked image patches. 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 Link 1201
BibRef

Takacs, G.[Gabriel], Chandrasekhar, V.[Vijay], Tsai, S.S.[Sam S.], Chen, D.M.[David M.], Grzeszczuk, R.[Radek], Girod, B.[Bernd],
Unified Real-Time Tracking and Recognition with Rotation-Invariant Fast Features,
CVPR10(934-941).
IEEE DOI Link 1006
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 Link 1004
BibRef

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 Link 0910
BibRef

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 Link 0812
BibRef

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 Link 1008
BibRef

Maki, A.[Atsuto], Hatanaka, Y.[Yosuke], Matsuyama, T.[Takashi],
Tracking features on a moving object using local image bases,
ICPR08(1-5).
IEEE DOI Link 0812
BibRef

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 Link 0801
BibRef

Ritch, M.[Mark], Canagarajah, C.N.[C. Nishan],
Motion-Based Video Object Tracking in the Compressed Domain,
ICIP07(VI: 301-304).
IEEE DOI Link 0709
BibRef

Dore, A., Regazzoni, C.S., Musso, M.,
MAP Particle Selection in Shape-Based Object Tracking,
ICIP07(V: 341-344).
IEEE DOI Link 0709
BibRef

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

Chen, Z.Z.[Ze-Zhi], Wallace, A.M.[Andrew M.],
Active Segmentation and Adaptive Tracking Using Level Sets,
BMVC07(xx-yy).
PDF Version. 0709
BibRef
And:
Improved Object Tracking Using an Adaptive Colour Model,
EMMCVPR07(280-294).
Springer DOI Link 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 Link 0911
BibRef

Amézquita Gómez, N.[Nicolás], Alquézar, R.[René], Serratosa, F.[Francesc],
Dealing with occlusion in a probabilistic object tracking method,
OTCBVS08(1-8).
IEEE DOI Link 0806
BibRef
Earlier:
A New Method for Object Tracking Based on Regions Instead of Contours,
OTCBVS07(1-8).
IEEE DOI Link 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 Link 0611
BibRef

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 Link 0611
BibRef

Wang, X.Y.[Xiao-Yu], Hua, G.[Gang], Han, T.X.[Tony X.],
Discriminative Tracking by Metric Learning,
ECCV10(III: 200-214).
Springer DOI Link 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 Link 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 Link 0610
BibRef

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 Link 0611
BibRef

Nguyen, Q.A.[Quang Anh], Robles-Kelly, A.[Antonio], Zhou, J.[Jun],
A Graph-Based Feature Combination Approach to Object Tracking,
ACCV09(II: 224-235).
Springer DOI Link 0909
BibRef

Nguyen, Q.A.[Quang Anh], Robles-Kelly, A.[Antonio], Shen, C.H.[Chun-Hua],
Kernel-based Tracking from a Probabilistic Viewpoint,
CVPR07(1-8).
IEEE DOI Link 0706
BibRef
Earlier:
Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video,
AVSBS06(28-28).
IEEE DOI Link 0611
BibRef

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 Link 0610
BibRef

Zhou, Y.[Yue], Huang, T.S.[Thomas S.],
Weighted Bayesian Network for Visual Tracking,
ICPR06(I: 523-526).
IEEE DOI Link 0609
BibRef

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

Miezianko, R.[Roland], Pokrajac, D.[Dragoljub],
People detection in low resolution infrared videos,
OTCBVS08(1-6).
IEEE DOI Link 0806
BibRef

Latecki, L.J.[Longin Jan], Miezianko, R.[Roland], Pokrajac, D.,
Tracking motion objects in infrared videos,
AVSBS05(99-104).
IEEE DOI Link 0602
BibRef

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

Freedman, D.[Daniel], Drineas, P.[Petros],
Energy Minimization via Graph Cuts: Settling What is Possible,
CVPR05(II: 939-946).
IEEE DOI Link 0507
BibRef

Zhang, T.[Tao], Freedman, D.[Daniel],
Tracking Objects Using Density Matching and Shape Priors,
ICCV03(1056-1062).
IEEE DOI Link 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 Link 0412
BibRef

Loh, A.P., Guan, F., Ge, S.S.,
Motion estimation using audio and video fusion,
ICARCV04(III: 1569-1574).
IEEE DOI Link 0412
BibRef

Birkbeck, N., Jagersand, M.,
Visual tracking using active appearance models,
CRV04(2-9).
IEEE Abstract. 0408
BibRef

Léonard, S.[Simon], Jägersand, M.[Martin],
Tracking the Pose of Objects through Subspace,
SCIA03(371-378).
WWW Version. 0310
BibRef

Green, I.A., Nelson, R.C.,
Propagating segmented regions during a camera saccade,
ICPR04(I: 640-643).
IEEE DOI Link 0409
BibRef

Nelson, R.C., Green, I.A.,
Tracking objects using recognition,
ICPR02(II: 1025-1030).
IEEE DOI Link 0211
BibRef

Huang, Y.[Yu], Huang, T.S., Niemann, H.,
A region-based method for model-free object tracking,
ICPR02(I: 592-595).
IEEE DOI Link 0211
BibRef

Ude, A., Atkeson, C.G.,
Probabilistic detection and tracking at high frame rates using affine warping,
ICPR02(II: 6-9).
IEEE DOI Link 0211
BibRef

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 Abstract. 0210
BibRef

Garcia, M., Nicolas, H.,
Video object trajectory analysis,
ICIP02(I: 585-588).
IEEE Abstract. 0210
BibRef

Motsch, J., Nicolas, H.,
3D motion estimation of video objects using a priori data and 2D apparent motion,
ICIP98(I: 908-912).
IEEE DOI Link 9810
BibRef

Rocha, J.[Jairo], Mir, A.[Arnau],
Articulated Object Tracking via a Genetic Algorithm,
EMMCVPR01(134-149).
Springer DOI Link 0205
BibRef

Pérez, P., Hue, C., Vermaak, J., Gangnet, M.,
Color-Based Probabilistic Tracking,
ECCV02(I: 661-675).
HTML Version. 0205
BibRef

Cayouette, F.[Francois], Cooperstock, J.R.[Jeremy R.],
Generic Real-Time Tracking Method on Semi-Dynamic Scenes,
ICPR06(I: 711-714).
IEEE DOI Link 0609
BibRef

Arseneau, S., Cooperstock, J.R.,
Automated feature registration for robust tracking methods,
ICPR02(II: 1078-1081).
IEEE DOI Link 0211
BibRef

Spors, S., Rabenstein, R., Strobel, N.,
Joint Audio-video Object Tracking,
ICIP01(I: 393-396).
IEEE Abstract. 0108
BibRef

Toyama, K., Wu, Y.,
Bootstrap Initialization of Nonparametric Texture Models for Tracking,
ECCV00(II: 119).
WWW Version. 0003
BibRef

Deutscher, J., North, B., Bascle, B., Blake, A.,
Tracking through Singularities and Discontinuities by Random Sampling,
ICCV99(1144-1149).
IEEE DOI Link BibRef 9900

Yacoob, Y.[Yaser], Davis, L.S.[Larry S.],
Tracking Rigid Motion using a Compact-Structure Constraint,
ICCV99(198-205).
IEEE DOI Link 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 Abstract. 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).
WWW Version. 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 Link 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 Link BibRef 9800
And:
View-Based Adaptive Affine Tracking,
ECCV98(I: 828).
WWW Version. 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 Abstract. 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 Link 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 Top Reference. BibRef 9500
And: Tech. Rep. 11-94-01, Image Analysis Research Laboratory, Univ. of South FloridaNovember 1994. Code:
WWW Version. 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 Link 9410
BibRef

Chan, M., Metaxas, D., Dickinson, S.J.,
Physics-Based Tracking of 3D Objects in 2D Image Sequences,
ICPR94(A:432-436).
IEEE DOI Link BibRef 9400

Chan, M.[Michael], Metaxas, D.[Dimitri], Dickinson, S.J.[Sven J.],
A New Approach to Tracking 3D Objects in 2D Image Sequences,
AAAI-94(960-965). BibRef 9400

Sinha, P.[Pawan],
Pattern Motion Perception: Feature Tracking or Integration of Component Motions?,
MIT AI Memo-1415, October 1994.
WWW Version. 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 Link 9208
BibRef

Berger, M.O., Laprie, Y.,
Global active method for automatic formant tracking guided by local processing,
ICPR92(III:598-601).
IEEE DOI Link 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 Link 9006
BibRef

Hong, Z., Zhu, P.,
An Improved SSDA Applied in Target Tracking,
ICPR88(II: 767-769).
IEEE DOI Link
IEEE Top Reference. 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:Feb 8, 2012 at 11:25:05