8.7.2.2 Tracking Deformable Shapes

Leymarie, F.F., and Levine, M.D.,
Tracking Deformable Objects in the Plane Using an Active Contour Model,
PAMI(15), No. 6, June 1993, pp. 617-634.
IEEE Abstract. IEEE Top Reference.
WWW Version. Segment the object in the noisy image and track it through frames. Applied to MAT: See also Simulating the Grassfire Transform Using an Active Contour Model. BibRef 9306

Leymarie, F.F.,
Tracking and Describing Deformable Objects Using Active Contour Models,
McGill UniversityTR-CIM-90-9, McGill University, February 1990.
WWW Version. 9002
BibRef

Leymarie, F.F., and Levine, M.D.,
Curvature Morphology,
McGill UniversityTR-CIM-88-26, McGill University, December 1988.
WWW Version. 8812
BibRef

Pei, S.C., Liou, L.G.,
Using Moments To Acquire The Motion Parameters of a Deformable Object without Correspondences,
IVC(12), No. 8, October 1994, pp. 475-485.
WWW Version. BibRef 9410

Pei, S.C., Liou, L.G.,
Tracking a Planar Patch in Three-Dimensional Space by Affine Transformation in Monocular and Binocular Vision,
PR(26), No. 1, January 1993, pp. 23-31.
WWW Version. BibRef 9301

Pei, S.C., Liou, L.G.,
Finding the Motion, Position and Orientation of a Planar Patch in 3D Space from Scaled-Orthographic Projection,
PR(27), No. 1, January 1994, pp. 9-25.
WWW Version. BibRef 9401

Pei, S.C., Liou, L.G.,
What Can Be Seen in a Noisy Optical-Flow Field Projected by a Moving Planar Patch in 3D Space,
PR(30), No. 9, September 1997, pp. 1401-1413.
WWW Version. 9708
BibRef

Jain, A.K., Zhong, Y., Lakshmanan, S.,
Object Matching Using Deformable Templates,
PAMI(18), No. 3, March 1996, pp. 267-278.
IEEE Abstract. IEEE Top Reference.
WWW Version. Deformable Template. Object prototype gives prior knowledge of the shape. Using edges, find a match with the image with coarse-to-fine matching. BibRef 9603

Zhong, Y.[Yu], Jain, A.K.[Anil K.], and Dubuisson-Jolly, M.P.[Marie-Pierre],
Object Tracking Using Deformable Templates,
PAMI(22), No. 5, May 2000, pp. 544-549.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0008
BibRef
Earlier: ICCV98(440-445).
IEEE DOI Link Combine frame-to-frame changes and model to image matches. BibRef

Dubuisson-Jolly, M.P.[Marie-Pierre], Gupta, A.[Alok],
Tracking Deformable Templates Using a Shortest Path Algorithm,
CVIU(81), No. 1, January 2001, pp. 26-45. 0102

WWW Version. BibRef

Dubuisson-Jolly, M.P.[Marie-Pierre], Liang, C.C.[Cheng-Chung], and Gupta, A.[Alok],
Optimal Polyline Tracking for Artery Motion Compensation in Coronary Angiography,
ICCV98(414-419).
IEEE DOI Link BibRef 9800

Marques, J.S.[Jorge S.], Lemos, J.M.[Joao M.],
Optimal and suboptimal shape tracking based on multiple switched dynamic models,
IVC(19), No. 8, May 2001, pp. 539-550.
WWW Version. 0106
BibRef
Earlier:
Shape Tracking Based on Switched Dynamical Models,
ICIP99(II:954-958).
IEEE Abstract. IEEE Top Reference. BibRef

Cheikh, F.A.[Faouzi Alaya], Cramariuc, B.[Bogdan], Partio, M.[Mari], Reijonen, P.[Pasi], Gabbouj, M.[Moncef],
Ordinal-Measure Based Shape Correspondence,
JASP(2002), No. 4, 2002, pp. 362-371.
HTML Version. 0204
BibRef

Mech, R.[Roland], Marqués, F.[Ferran],
Objective Evaluation Criteria for 2D-Shape Estimation Results of Moving Objects,
JASP(2002), No. 4, 2002, pp. 401-409.
HTML Version. 0204
BibRef

Nascimento, J.C., Marques, J.S.,
Improving the robustness of parametric shape tracking with switched multiple models,
PR(35), No. 12, December 2002, pp. 2711-2718.
WWW Version. 0209
BibRef

Nascimento, J.C., Marques, J.S.,
An Adaptive Potential for Robust Shape Estimation,
IVC(21), No. 12-13, December 2003, pp. 1107-1116.
WWW Version. 0401
BibRef
Earlier: BMVC01(Session 4: Segmentation).
HTML Version. BibRef
Earlier:
Robust Shape Tracking in the Presence of Cluttered Background,
ICIP00(Vol III: 82-85).
IEEE Abstract. IEEE Top Reference. 0008
Instituto Superior Técnico 0110
Based on strokes detected in the image. BibRef

Nascimento, J.C., Marques, J.S.,
Robust Shape Tracking With Multiple Models in Ultrasound Images,
IP(17), No. 3, March 2008, pp. 392-406.
IEEE DOI Link 0802
BibRef

Nascimento, J.C., Marques, J.S.,
Adaptive Snakes Using the EM Algorithm,
IP(14), No. 11, November 2005, pp. 1678-1686.
IEEE DOI Link 0510
BibRef
And: Errata: IP(15), No. 3, March 2006, pp. 788-788.
IEEE DOI Link 0604
BibRef

Nguyen, H.T.[Hieu Tat], Worring, M., van den Boomgaard, R., Smeulders, A.W.M.,
Tracking nonparameterized object contours in video,
IP(11), No. 9, September 2002, pp. 1081-1091.
IEEE DOI Link 0210
See also Watersnakes: Energy-Driven Watershed Segmentation. BibRef

Nguyen, H.T.[Hieu T.], Worring, M.[Marcel],
Multifeature Object Tracking using a Model-Free Approach,
CVPR00(I: 145-150).
IEEE Abstract. IEEE Top Reference.
WWW Version. 0005
BibRef

Nguyen, H.T.[Hieu T.], Worring, M.[Marcel], van den Boomgaard, R.[Rein],
Occlusion Robust Adaptive Template Tracking,
ICCV01(I: 678-683).
IEEE DOI Link 0106
BibRef

Li, P.H.[Pei-Hua], Zhang, T.W.[Tian-Wen], Pece, A.E.C.[Arthur E.C.],
Visual contour tracking based on particle filters,
IVC(21), No. 1, January 2003, pp. 111-123.
WWW Version. 0301
BibRef

Pece, A.E.C.[Arthur E.C.], Worrall, A.D.[Anthony D.],
A comparison between feature-based and EM-based contour tracking,
IVC(24), No. 11, 1 November 2006, pp. 1218-1232.
WWW Version. 0610
BibRef
Earlier:
Tracking with the EM Contour Algorithm,
ECCV02(I: 3 ff.).
HTML Version. 0205
Active contour for pose refinement and tracking. Generative model; EM algorithm; Kalman filter; Empirical information matrix BibRef

Pece, A.E.C.[Arthur E.C.],
Contour tracking based on marginalized likelihood ratios,
IVC(24), No. 3, 1 March 2006, pp. 301-317.
WWW Version. Generative model; Active contour; Particle filter; EM algorithm; Kalman filter 0604
BibRef
Earlier:
A Comparison of Active-Contour Models Based on Blurring and on Marginalization,
PETS05(333-340).
IEEE DOI Link 0602
BibRef
Earlier:
Tracking of Non-Gaussian Clusters in the PETS2001 Image Sequences,
PETS01(xx-yy). 0110
BibRef

Nava, F.P.[Fernando Pérez], Martel, A.F.[Antonio Falcón],
Wavelet modeling of contour deformations in Sobolev spaces for fitting and tracking applications,
PR(36), No. 5, May 2003, pp. 1119-1130.
WWW Version. 0301
BibRef

Zimmer, C., Labruyere, E., Meas-Yedid, V., Guillen-Aghion, N., Olivo-Marin, J.C.,
Segmentation and tracking of migrating cells in videomicroscopy with parametric active contours: a tool for cell-based drug testing,
MedImg(21), No. 10, October 2002, pp. 1212-1221.
IEEE Top Reference. 0301
BibRef
And:
Improving active contours for segmentation and tracking of motile cells in videomicroscopy,
ICPR02(II: 286-289).
IEEE DOI Link 0211
BibRef

Zimmer, C., Olivo-Marin, J.C.,
Coupled Parametric Active Contours,
PAMI(27), No. 11, November 2005, pp. 1838-1842.
IEEE DOI Link 0510
Deal with occasional touching, contours do not merge. BibRef

Pecreaux, J., Zimmer, C., Olivo-Marin, J.C.,
Biophysical Active Contours for Cell Tracking I: Tension and Bending,
ICIP06(1949-1952). 0610

IEEE DOI Link BibRef

Koschan, A.F.[Andreas F.], Kang, S.K.[Sang-Kyu], Paik, J.K.[Joon-Ki], Abidi, B.R.[Besma R.], Abidi, M.A.[Mongi A.],
Color active shape models for tracking non-rigid objects,
PRL(24), No. 11, July 2003, pp. 1751-1765.
WWW Version. 0304
BibRef

Kang, S.K., Koschan, A.F., Zhang, H.S., Paik, J.K., Abidi, B.R., Abidi, M.A.,
Hierarchical approach to enhanced active shape model for color video tracking,
ICIP02(I: 888-891).
IEEE Abstract. IEEE Top Reference. 0210
BibRef

Chung, D.[Desmond], MacLean, W.J.[W. James], Dickinson, S.J.[Sven J.],
Integrating region and boundary information for spatially coherent object tracking,
IVC(24), No. 7, July 2006, pp. 680-692.
WWW Version.
PDF Version. 0608
BibRef
Integrating Region and Boundary Information for Improved Spatial Coherence in Object Tracking,
Non-Rigid04(3).
HTML Version. 0502
Motion estimation; Boundary recovery; Parametric models; Motion layers BibRef

Li, P.H.[Pei-Hua], Zhang, T.W.[Tian-Wen], Ma, B.[Bo],
Unscented Kalman filter for visual curve tracking,
IVC(22), No. 2, 1 February 2004, pp. 157-164.
WWW Version. 0402
For each step, make multiple measurements on appropriately chosen sample points, thus obtaining the best observation according to the measurement density. BibRef

Tsechpenakis, G., Rapantzikos, K., Tsapatsoulis, N., Kollias, S.,
A snake model for object tracking in natural sequences,
SP:IC(19), No. 3, March 2004, pp. 219-238.
WWW Version. 0402
BibRef

Rapantzikos, K.[Konstantinos], Tsapatsoulis, N.[Nicolas], Avrithis, Y.[Yannis], Kollias, S.[Stefanos],
Bottom-up spatiotemporal visual attention model for video analysis,
IET-IPR(1), No. 2, June 2007, pp. 237-248.
WWW Version. 0905
BibRef

Rapantzikos, K.[Konstantinos], Tsapatsoulis, N.[Nicolas], Avrithis, Y.[Yannis], Kollias, S.[Stefanos],
Spatiotemporal saliency for video classification,
SP:IC(24), No. 7, August 2009, pp. 557-571,.
Elsevier DOI Link
WWW Version. 0909
Spatiotemporal visual saliency; Video classification BibRef

Rapantzikos, K.[Konstantinos], Avrithis, Y.[Yannis], Kollias, S.[Stefanos],
Dense saliency-based spatiotemporal feature points for action recognition,
CVPR09(1454-1461).
IEEE DOI Link 0906
BibRef

Tsechpenakis, G.[Gabriel], Tsapatsoulis, N.[Nicolas], Kollias, S.[Stefanos],
Probabilistic Boundary-based Contour Tracking With Snakes In Natural Cluttered Video Sequences,
IJIG(4), No. 3, July 2004, pp. 469-498. 0407
BibRef

Ristivojevic, M., Konrad, J.[Janusz],
Space-Time Image Sequence Analysis: Object Tunnels and Occlusion Volumes,
IP(15), No. 2, February 2006, pp. 364-376.
IEEE DOI Link 0602
BibRef
Earlier: A2, A1:
Joint space-time image sequence segmentation based on volume competition and level sets,
ICIP02(I: 573-576).
IEEE Abstract. IEEE Top Reference. 0210
Find the volumn carved by the object through time. BibRef

Hsu, C.T.[Chiou-Ting], Hsieh, M.S.[Ming-Shen],
Region tracking for non-rigid video objects in a non-parametric MAP framework,
SP:IC(21), No. 3, March 2006, pp. 235-251.
WWW Version. 0604
BibRef
Earlier:
Segmentation of non-rigid object in a non-parametric MAP framework,
ICIP03(I: 997-1000).
IEEE Abstract. IEEE Top Reference. 0312
Map model; Non-parametric density estimation; Non-rigid motion; Curve evolution BibRef

Xiong, G.L.[Guang-Lei], Feng, C.[Chao], Ji, L.[Liang],
Dynamical Gaussian mixture model for tracking elliptical living objects,
PRL(27), No. 7, May 2006, pp. 838-842.
WWW Version. Gaussian mixture model; EM algorithm; Kalman filtering; Tracking 0604
BibRef

Wilson, C.A., Theriot, J.A.,
A Correlation-Based Approach to Calculate Rotation and Translation of Moving Cells,
IP(15), No. 7, July 2006, pp. 1939-1951.
IEEE DOI Link 0606
BibRef

Moreno-Noguer, F.[Francesc], Sanfeliu, A.[Alberto], Samaras, D.[Dimitris],
Integration of deformable contours and a multiple hypotheses Fisher color model for robust tracking in varying illuminant environments,
IVC(25), No. 3, March 2007, pp. 285-296.
WWW Version. 0701
Tracking; Deformable contours; Color adaption; Particle filters See also Dependent Multiple Cue Integration for Robust Tracking. See also Integration of Conditionally Dependent Object Features for Robust Figure/Background Segmentation. BibRef

Sum, K.W., Cheung, P.Y.S.[Paul Y.S.],
Boundary vector field for parametric active contours,
PR(40), No. 6, June 2007, pp. 1635-1645.
WWW Version. 0704
Parametric active contours; Snakes; External forces; Gradient vector flow; Boundary vector field; Capture range; Concave object extraction; Image segmentation; Medical image analysis BibRef

Jiang, H.[Hao], Drew, M.S.[Mark S.],
Shadow resistant tracking using inertia constraints,
PR(40), No. 7, July 2007, pp. 1929-1945.
WWW Version. 0704
BibRef
Earlier:
A predictive contour inertia snake model for general video tracking,
ICIP02(III: 413-416).
IEEE Abstract. IEEE Top Reference. 0210
Shadows; Tracking; Snakes; Active contours; Variational; Illumination invariance; Inertia BibRef

Allili, M.S.[Mohand Said], Ziou, D.[Djemel],
Globally adaptive region information for automatic color-texture image segmentation,
PRL(28), No. 15, 1 November 2007, pp. 1946-1956.
WWW Version. 0711
BibRef
Earlier:
Automatic Color-Texture Image Segmentation by Using Active Contours,
IWICPAS06(495-504).
Springer DOI Link 0608
BibRef
Earlier:
An Automatic Segmentation of Color Images by Using a Combination of Mixture Modelling and Adaptive Region Information: A Level Set Approach,
ICIP05(I: 305-308).
IEEE DOI Link 0512
Color; Texture; Polarity; Level sets; Automatic segmentation BibRef

Allili, M.S.[Mohand Said], Ziou, D.[Djemel],
An approach for dynamic combination of region and boundary information in segmentation,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef

Allili, M.S.[Mohand Saïd], Ziou, D.[Djemel],
Active contours for video object tracking using region, boundary and shape information,
SIViP(1), No. 2, June 2007, pp. 101-117.
Springer DOI Link 0707
BibRef
Earlier:
Adaptive Appearance Model for Object Contour Tracking in Videos,
CRV07(510-518).
IEEE DOI Link 0705
BibRef
Earlier:
A Robust Video Object Tracking by Using Active Contours,
OTCBVS06(135).
IEEE DOI Link 0609
BibRef
And:
Object Contour Tracking in Videos by Matching Finite Mixture Models,
AVSBS06(35-35).
IEEE DOI Link 0611
BibRef
Earlier:
An Automatic Segmentation Combining Mixture Analysis and Adaptive Region Information: A Level Set Approach,
CRV05(73-80).
IEEE DOI Link 0505
See also Hybrid SEM Algorithm for High-Dimensional Unsupervised Learning Using a Finite Generalized Dirichlet Mixture, A. BibRef

Allili, M.S.[Mohand Said], Ziou, D.[Djemel],
Object of Interest segmentation and Tracking by Using Feature Selection and Active Contours,
OTCBVS07(1-8).
IEEE DOI Link 0706
BibRef
And:
Using Feature Selection For Object Segmentation and Tracking,
CRV07(191-200).
IEEE DOI Link 0705
BibRef

Seise, M.[Matthias], McKenna, S.J.[Stephen J.], Ricketts, I.W.[Ian W.], Wigderowitz, C.A.[Carlos A.],
Learning Active Shape Models for Bifurcating Contours,
MedImg(26), No. 5, May 2007, pp. 666-677.
IEEE DOI Link 0705
BibRef
Earlier:
Double Contour Active Shape Models,
BMVC05(xx-yy).
HTML Version. 0509
Segmentation of tibial and femoral contours in knee X-ray images. BibRef

Seise, M.[Matthias], McKenna, S.J.[Stephen J.], Ricketts, I.W.[Ian W.], Wigderowitz, C.A.[Carlos A.],
Parts-based segmentation with overlapping part models using Markov chain Monte Carlo,
IVC(27), No. 5, 2 April 2009, pp. 504-513.
Elsevier DOI Link
WWW Version. 0904
BibRef
Earlier:
Segmenting Multiple Objects with Overlapping Appearance and Uncertainty,
BMVC06(II:839).
PDF Version. 0609
Probabilistic segmentation; Model-based segmentation; Markov chain Monte Carlo BibRef

McAllister, G., McKenna, S.J., Ricketts, I.W.,
MLESAC tracking with 2D revolute-prismatic articulated models,
ICPR02(II: 725-728).
IEEE DOI Link 0211
BibRef

Schreiber, D.[David],
Robust template tracking with drift correction,
PRL(28), No. 12, 1 September 2007, pp. 1483-1491.
WWW Version. 0707
Template tracking; The Lucas-Kanade algorithm; Robust least squares BibRef

Schreiber, D.[David],
Generalizing the Lucas-Kanade algorithm for histogram-based tracking,
PRL(29), No. 7, 1 May 2008, pp. 852-861.
WWW Version. 0804
Template tracking; The Lucas-Kanade algorithm; Histogram-based tracking; Kernel-based tracking; Robust least squares; Pedestrian tracking See also Iterative Image Registration Technique with an Application to Stereo Vision, An. BibRef

Schreiber, D.[David],
Incorporating symmetry into the Lucas-Kanade framework,
PRL(30), No. 7, 1 May 2009, pp. 690-698.
Elsevier DOI Link
WWW Version. 0904
Template tracking; Region alignment; The Lucas-Kanade algorithm; Bilateral symmetry; Symmetry detection; Symmetry tracking BibRef

Shekhovtsov, A.[Alexander], Kovtun, I.[Ivan], Hlavac, V.[Vaclav],
Efficient MRF Deformation Model for Non-Rigid Image Matching,
CVIU(112), No. 1, October 2008, pp. 91-99.
WWW Version. 0810
BibRef
Earlier: CVPR07(1-6).
IEEE DOI Link 0706
Markov random fields; MRF; Message passing; TRW-S; Energy minimization; Motion estimation; Optical flow; Image registration BibRef

Zaki, M., Youssef, M.,
TNRAC: a system for tracking multiple moving non-rigid objects using an active camera,
SIViP(3), No. 2, June 2009, pp. xx-yy.
Springer DOI Link 0903
active contour models. Block matching, reject bad feature points. BibRef

Garcia Trigo, P.[Pablo], Johan, H.[Henry], Imagire, T.[Takashi], Nishita, T.[Tomoyuki],
Interactive Region Matching for 2D Animation Coloring Based on Feature's Variation,
IEICE(E92-D), No. 6, June 2009, pp. 1289-1295.
WWW Version. 0907
Store the region and match regions through frames. BibRef

Zhu, Q.H.[Qi-Hui], Wang, L.M.[Li-Ming], Wu, Y.[Yang], Shi, J.B.[Jian-Bo],
Contour Context Selection for Object Detection: A Set-to-Set Contour Matching Approach,
ECCV08(II: 774-787).
Springer DOI Link 0810
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Chiverton, J.[John], Mirmehdi, M.[Majid], Xie, X.H.[Xiang-Hua],
Variational Maximum A Posteriori model similarity and dissimilarity matching,
ICPR08(1-4).
IEEE DOI Link 0812
BibRef
And: A1, A3, A2:
Tracking with Active Contours Using Dynamically Updated Shape Information,
BMVC08(xx-yy).
PDF Version. 0809
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Goldin, I.[Ishay], Delosme, J.M.[Jean-Marc], Bruckstein, A.M.[Alfred M.],
Vesicles and amoebae: Globally constrained shape evolutions,
NORDIA08(1-8).
IEEE DOI Link 0806
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Chen, H.Q.[Hui-Qiong], Gao, Q.G.[Qi-Gang],
Integrating Color and Gradient into Real-time Curve Tracking,
CRV08(294-300).
IEEE DOI Link 0805
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Yan, J.H.[Jian-Hua], Zhang, K.Q.[Ke-Qi], Zhang, C.C.[Cheng-Cui], Chen, S.C.[Shu-Ching], Narasimhan, G.[Giri],
A Graph Reduction Method for 2D Snake Problems,
CVPR07(1-6).
IEEE DOI Link 0706
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Yan, J.[Jun], Zhou, X.B.[Xiao-Bo], Yang, Q.[Qiong], Liu, N.[Ning], Cheng, Q.S.[Qian-Sheng], Wong, S.T.C.,
An Effective System for Optical Microscopy Cell Image Segmentation, Tracking and Cell Phase Identification,
ICIP06(1917-1920). 0610

IEEE DOI Link BibRef

Husain, M., Saber, E., Misic, V., Joralemon, S.P.,
Dynamic Object Tracking by Partial Shape Matching for Video Surveillance Applications,
ICIP06(2405-2408). 0610

IEEE DOI Link BibRef

Wilson, R.C., Das, S., Finkel, L.H.,
Motion as Shape: A Novel Method for the Recognition and Prediction of Biological Motion,
BMVC06(II:669).
PDF Version. 0609
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Takeshima, H.[Hidenori], Ida, T.[Takashi], Kaneko, T.[Toshimitsu],
Object Contour Detection Using Spatio-temporal Self-similarity,
ICPR06(I: 613-617).
WWW Version. 0609
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Lee, C.S., Elgammal, A.M.,
Style Adaptive Bayesian Tracking Using Explicit Manifold Learning,
BMVC05(xx-yy).
HTML Version. 0509
Contour tracking for human motion. BibRef

Shahrokni, A.[Ali], Fleuret, F., Fua, P.[Pascal],
Classifier-based Contour Tracking for Rigid and Deformable Objects,
BMVC05(xx-yy).
HTML Version. 0509
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Metaxas, D.N., Qian, Z.[Zhen], Huang, X.L.[Xiao-Lei], Huang, R.[Rui], Chen, T.[Ting], Axel, L.,
Hybrid Deformable Models for Medical Segmentation and Registration,
ICARCV06(1-6).
IEEE DOI Link 0612
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Huang, X.L.[Xiao-Lei], Qian, Z.[Zhen], Huang, R.[Rui], Metaxas, D.N.[Dimitris N.],
Deformable-Model Based Textured Object Segmentation,
EMMCVPR05(119-135).
Springer DOI Link 0601
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Gevers, T., Aldershoff, F.,
Color invariant density estimation for image segmentation and object tracking,
ICIP04(V: 3029-3032).
IEEE DOI Link 0505
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Kawamoto, K.[Kazuhiko], Hirota, K.[Kaoru],
Curve Tracking by Hypothesis Propagation and Voting-Based Verification,
IWCIA04(151-163).
WWW Version. 0505
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Xu, W.B.[Wei-Bing], Amin, S.A.[Saad A.], Haas, O.C.L.[Olivier C.L.], Burnham, K.J.[Keith J.], Mills, J.A.[John A.],
Snake-Aided Automatic Organ Delineation,
DAGM04(504-511).
WWW Version. 0505
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de Bruijne, M., Nielsen, M.,
Image segmentation by shape particle filtering,
ICPR04(III: 722-725).
IEEE DOI Link 0409
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da Fontoura Costa, L., Schubert, D.,
A framework for cell movement image analysis,
CIAP03(271-276).
IEEE Abstract. IEEE Top Reference. 0310
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Huang, F.Z.[Fu-Zhen], Su, J.B.[Jian-Bo],
Moment-Based Shape Priors for Geometric Active Contours,
ICPR06(II: 56-59).
WWW Version. 0609
BibRef
Earlier:
Multiple face contour detection based on geometric active contours,
AFGR04(385-390).
IEEE Abstract. IEEE Top Reference. 0411
BibRef
Earlier:
Deformable pedal curves with application to face contour extraction,
CVPR03(I: 328-333).
IEEE Abstract. IEEE Top Reference. 0307
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Wu, Y.[Ying], Hua, G.[Gang], Yu, T.[Ting],
Switching observation models for contour tracking in clutter,
CVPR03(I: 295-302).
IEEE Abstract. IEEE Top Reference. 0307
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Giebel, J., Gavrila, D.M.,
Multimodal Shape Tracking with Point Distribution Models,
DAGM02(1 ff.).
HTML Version. 0303
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Brandner, M., Pinz, A.,
Real-Time Tracking of Complex Objects Using Dynamic Interpretation Tree,
DAGM02(9 ff.).
HTML Version. 0303
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Abd-Almageed, W., Smith, C.E.,
Mixture models for dynamic statistical pressure snakes,
ICPR02(II: 721-724).
IEEE DOI Link 0211
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Li, P.H.[Pei-Hua], Zhang, T.W.[Tian-Wen],
Visual contour tracking based on sequential importance sampling/resampling algorithm,
ICPR02(II: 564-568).
IEEE DOI Link 0211
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Izquierdo, D., Berthoumieu, Y.,
Region level segmentation based on a derivative approach for video tracking process,
ICIP02(II: 321-324).
IEEE Abstract. IEEE Top Reference. 0210
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Kalafatic, Z., Ribaric, S., Stanisavljevic, V.,
A system for tracking laboratory animals based on optical flow and active contours,
CIAP01(334-339).
IEEE Top Reference. 0210
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Ieng, S.S.[Sio-Song], Tarel, J.P.[Jean-Philippe], Charbonnier, P.[Pierre],
Evaluation of Robust Fitting Based Detection,
ECCV04(Vol II: 341-352).
WWW Version. 0405
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Tarel, J.P.[Jean-Philippe], Ieng, S.S.[Sio-Song], Charbonnier, P.[Pierre],
Using Robust Estimation Algorithms for Tracking Explicit Curves,
ECCV02(I: 492 ff.).
HTML Version.
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Postscript Version. 0205
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Grazzini, J., Béréziat, D., Herlin, I.,
Analysis of Cloudy Structures Evolution on Meteorological Satellite Acquisitions,
ICIP01(III: 760-763).
IEEE Abstract. IEEE Top Reference. 0108
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Hu, C.B.[Chang-Bo], Li, Y.[Yi], Ma, S.D.[Song-De], Lu, H.Q.[Hang-Qing],
Region Based Parametric Motion Representation,
ICPR00(Vol III: 861-864).
IEEE DOI Link
IEEE DOI Link
HTML Version. 0009
Motion of the regions. BibRef

Mech, R.,
Robust 2D Shape Estimation of Moving Objects Considering Spatial and Temporal Coherency in One MAP Detection Rule,
ICIP00(Vol I: 331-334).
IEEE Abstract. IEEE Top Reference. 0008
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Reynard, D., Blake, A., Azzawi, A., Styles, P., Radda, G.K.,
Computer Tracking of Tagged H MR Images for Motion Analysis,
CVRMed95(XX-YY) BibRef 9500

Reynard, D., Wildenberg, A., Blake, A., Marchant, J.,
Learning Dynamics of Complex Motions from Image Sequences,
ECCV96(I:357-368).
Springer DOI Link BibRef 9600

Kervrann, C., Heitz, F.,
Robust tracking of stochastic deformable models in long image sequences,
ICIP94(III: 88-92).
IEEE DOI Link 9411
BibRef

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Snakes, Matching Deformable Contours .