Keith Price Bibliography Region, Target Tracking

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. 9710

WWW Version. 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

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. IEEE Top Reference. 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. IEEE Top Reference. 0008
BibRef

Lee, H.C.[Harry C.], Nguyen, D.[Dat],
Balanced template tracker for tracking an object image sequence,
US_Patent6,445,832, Sep 3, 2002
WWW Version. BibRef 0209

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.
HTML Version. 0211
BibRef

Abrantes, A.J., Marques, J.S., Lemos, J.M.,
Long term tracking using bayesian networks,
ICIP02(III: 609-612).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Marques, J.S.[Jorge S.], Lemos, J.M.[Joao M.], Abrantes, A.J.[Arnaldo J.],
Estimation of Random Trajectories on Manifolds: Application to Object Tracking,
ICIP99(IV:103-107).
IEEE Abstract. IEEE Top Reference. BibRef 9900

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. IEEE Top Reference. 0307
BibRef

Krahnstoever, N.O., Sharma, R.,
Robust probabilistic estimation of uncertain appearance for model-based tracking,
Motion02(28-33).
IEEE Abstract. IEEE Top Reference. 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. IEEE Top Reference. 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. IEEE Top Reference. 0108
BibRef

Ortegón-Aguilar, J.[Jaime], Bayro-Corrochano, E.[Eduardo],
Lie Algebra and System Identification Techniques for 3D Rigid Motion Estimation and Monocular Tracking,
JMIV(25), No. 2, September 2006, pp. 173-185.
Springer DOI Link 0610
BibRef
Earlier:
Monocular lie algebra approach for 3d motion estimation,
ICPR04(II: 200-203).
IEEE DOI Link 0409
BibRef
And: A2, A1:
Lie algebra template tracking,
ICPR04(II: 56-59).
IEEE DOI Link 0409
BibRef

Bayro-Corrochano, E.[Eduardo], Ortegon-Aguilar, J.[Jaime],
Lie algebra approach for tracking and 3D motion estimation using monocular vision,
IVC(25), No. 6, 1 June 2007, pp. 907-921.
WWW Version. 0704
Lie algebra; Template tracking; Monocular 3D motion estimation; Least squares estimation; System identification 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

Han, B.H.[Bo-Hyung], Comaniciu, D.[Dorin], Zhu, Y.[Ying], Davis, L.S.[Larry S.],
Sequential Kernel Density Approximation and Its Application to Real-Time Visual Tracking,
PAMI(30), No. 7, July 2008, pp. 1186-1197.
IEEE DOI Link 0806
BibRef
Earlier: A1, A2, A3, A4:
Incremental density approximation and kernel-based Bayesian filtering for object tracking,
CVPR04(I: 638-644).
IEEE Abstract. IEEE Top Reference. 0408
Kernel density approximation technique based on the mean-shift mode finding algorithm BibRef

Han, B.H.[Bo-Hyung], Zhu, Y.[Ying], Comaniciu, D.[Dorin], Davis, L.S.[Larry S.],
Visual Tracking by Continuous Density Propagation in Sequential Bayesian Filtering Framework,
PAMI(31), No. 5, May 2009, pp. 919-930.
IEEE DOI Link 0903
BibRef
Earlier:
Kernel-Based Bayesian Filtering for Object Tracking,
CVPR05(I: 227-234).
IEEE DOI Link 0507
Particle filtering in tracking. BibRef

Han, B.H.[Bo-Hyung], Davis, L.S.[Larry S.],
Probabilistic fusion-based parameter estimation for visual tracking,
CVIU(113), No. 4, April 2009, pp. 435-445.
Elsevier DOI Link
WWW Version. 0903
BibRef
Earlier:
On-Line Density-Based Appearance Modeling for Object Tracking,
ICCV05(II: 1492-1499).
IEEE DOI Link 0510
BibRef
And:
Robust Observations for Object Tracking,
ICIP05(II: 442-445).
IEEE DOI Link 0512
BibRef
Earlier:
Object tracking by adaptive feature extraction,
ICIP04(III: 1501-1504).
IEEE DOI Link 0505
Visual tracking; Density-based fusion; Mean-shift; Component-based tracking BibRef

Han, B.H.[Bo-Hyung], Joo, S.W.[Seong-Wook], Davis, L.S.[Larry S.],
Probabilistic Fusion Tracking Using Mixture Kernel-Based Bayesian Filtering,
ICCV07(1-8).
IEEE DOI Link 0710
BibRef

Li, P.,
An Adaptive Binning Color Model for Mean Shift Tracking,
CirSysVideo(18), No. 9, September 2008, pp. 1293-1299.
IEEE DOI Link 0810
BibRef

Jeyakar, J.[Jaideep], Babu, R.V.[R. Venkatesh], Ramakrishnan, K.R.,
Robust object tracking with background-weighted local kernels,
CVIU(112), No. 3, December 2008, pp. 296-309.
WWW Version. 0711
BibRef
Earlier:
Robust Object Tracking using Local Kernels and Background Information,
ICIP07(V: 49-52).
IEEE DOI Link 0709
Mean shift; Object tracking; Kernel tracking 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

Hu, J.S.[Jwu-Sheng], Juan, C.W.[Chung-Wei], Wang, J.J.[Jyun-Ji],
A spatial-color mean-shift object tracking algorithm with scale and orientation estimation,
PRL(29), No. 16, 1 December 2008, pp. 2165-2173.
WWW Version. 0811
Mean-shift; Object tracking; Principle component analysis; Object deformation BibRef

Zhou, H.Y.[Hui-Yu], Yuan, Y.[Yuan], Shi, C.M.[Chun-Mei],
Object tracking using SIFT features and mean shift,
CVIU(113), No. 3, March 2009, pp. 345-352.
Elsevier DOI Link
WWW Version. 0902
Object tracking; Color histogram; Mean shift; SIFT features; Expectation-maximization 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. IEEE Top Reference. 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
BibRef

Liu, H.[Hong], Yu, Z.[Ze], Zha, H.B.[Hong-Bin], Zou, Y.X.[Yue-Xian], Zhang, L.[Lin],
Robust human tracking based on multi-cue integration and mean-shift,
PRL(30), No. 9, 1 July 2009, pp. 827-837.
Elsevier DOI Link
WWW Version. 0905
Mean-Shift; Multi-cue tracking; Adaptive integration BibRef

Liu, H.[Hong], Zhang, L.[Lin], Yu, Z.[Ze], Zha, H.B.[Hong-Bin], Shi, Y.[Ying],
Collaborative Mean Shift Tracking Based on Multi-Cue Integration and Auxiliary Objects,
ICIP07(III: 217-220).
IEEE DOI Link 0709
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

Zhang, C.[Chen], Eggert, J.[Julian], Einecke, N.[Nils],
Robust Tracking by Means of Template Adaptation with Drift Correction,
CVS09(425-434).
Springer DOI Link 0910
Drift: changes in the object over time. BibRef

Tung, F.[Frederick], Zelek, J.S.[John S.], Clausi, D.A.[David A.],
Efficient Target Recovery Using STAGE for Mean-shift Tracking,
CRV09(16-22).
IEEE DOI Link 0905
BibRef

Li, P.H.[Pei-Hua], Xiao, L.J.[Li-Juan],
Mean Shift Parallel Tracking on GPU,
IbPRIA09(120-127).
Springer DOI Link 0906
BibRef
Earlier: A2, A1:
Improvement on Mean Shift based tracking using second-order information,
ICPR08(1-4).
IEEE DOI Link 0812
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

Yi, K.M.[Kwang Moo], Ahn, H.S.[Ho Seok], Choi, J.Y.[Jin Young],
Orientation and scale invariant mean shift using object mask-based kernel,
ICPR08(1-4).
IEEE DOI Link 0812
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

Li, Z.D.[Zhi-Dong], Chen, J.[Jing], Schraudolph, N.N.[Nicol N.],
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Zhao, C.[Chuan], Knight, A.[Andrew], Reid, I.D.[Ian D.],
Target tracking using mean-shift and affine structure,
ICPR08(1-5).
IEEE DOI Link 0812
BibRef

Shi, Y.[Ying], Liu, H.[Hong], Liu, Y.[Yi], Zha, H.B.[Hong-Bin],
Adaptive feature-spatial representation for Mean-shift tracker,
ICIP08(2012-2015).
IEEE DOI Link 0810
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

Li, G.R.[Guo-Rong], Liang, D.W.[Da-Wei], Huang, Q.M.[Qing-Ming], Jiang, S.Q.A.[Shu-Qi-Ang], Gao, W.[Wen],
Object tracking using incremental 2D-LDA learning and Bayes inference,
ICIP08(1568-1571).
IEEE DOI Link 0810
BibRef

Liang, D.W.[Da-Wei], Huang, Q.M.[Qing-Ming], Jiang, S.Q.A.[Shu-Qi-Ang], Yao, H.X.[Hong-Xun], Gao, W.[Wen],
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation,
ICIP07(III: 369-372).
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

Draréni, J.[Jamil], Roy, S.[Sébastien],
A Simple Oriented Mean-Shift Algorithm for Tracking,
ICIAR07(558-568).
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

Benhimane, S.[Selim], Ladikos, A.[Alexander], Lepetit, V.[Vincent], Navab, N.[Nassir],
Linear and Quadratic Subsets for Template-Based Tracking,
CVPR07(1-6).
IEEE DOI Link 0706
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

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). 0610

IEEE DOI Link BibRef

Leung, A.P., Gong, S.,
Mean-Shift Tracking with Random Sampling,
BMVC06(II:729).
PDF Version. 0609
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], 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

Keck, Jr., M.A.[Mark A.], Davis, J.W.[James W.], Tyagi, A.[Ambrish],
Tracking mean shift clustered point clouds for 3D surveillance,
VSSN06(187-194).
WWW Version. 0701
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).
WWW Version. 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

Pu, J.X.[Jie-Xin], Peng, N.S.[Ning-Song],
Adaptive Kernel Based Tracking Using Mean-Shift,
ICIAR06(I: 394-403).
Springer DOI Link 0610
BibRef

Peng, N.S.[Ning-Song], Yang, J.[Jie],
Mean-Shift Blob Tracking with Kernel-Color Distribution Estimate and Adaptive Model Update Criterion,
SMVP04(83-93).
WWW Version. 0505
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. IEEE Top Reference. 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. IEEE Top Reference. 0210
BibRef

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

Withagen, P., Schutte, K., Groen, F.,
Likelihood-based object detection and object tracking using color histograms and EM,
ICIP02(I: 589-592).
IEEE Abstract. IEEE Top Reference. 0210
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).
WWW Version. 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. IEEE Top Reference. 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. IEEE Top Reference. 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

Parry, H.S., Marshall, A.D., and Markham, K.C.,
Region Template Correlation for FLIR Target Tracking,
BMVC96(Poster Session 2). 9608
University of Wales and British Aerospace (Dynamics) Ltd BibRef

Richardson, H.S., and Blostein, S.D.,
A Sequential Detection Framework for Feature Tracking within Computational Constraints,
CVPR92(861-864).
IEEE Abstract. IEEE Top Reference. 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.[Huiming], 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

Brock-Gunn, S., Ellis, T.,
Using Colour Templates for Target Identification and Tracking,
BMVC92(xx-yy).
PDF Version. 9209
BibRef

Wu, C.K.[Cheng-Ke], Lu, X.[Xinru], Xiao, D.B.[Dong-Buo], Jiang, Y.[Yonghua],
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
Target Tracking Techniques, Motion Models, Prediction, Control .

Last update:Nov 16, 2009 at 19:35:14