8.7.2 Snakes, Contours, Motion Tracking

Strickland, R.N.[Robin N.], Mao, Z.[Zuhua],
Contour Motion Estimation Using Relaxation Matching with a Smoothness Constraint on the Velocity-Field,
CVGIP(60), No. 2, September 1994, pp. 157-167.
DOI Link BibRef 9409

Strickland, R.N.[Robin N.], Mao, Z.[Zuhua],
Computing Correspondences in a Sequence of Non-Rigid Objects,
PR(25), No. 9, September 1992, pp. 901-912.
Elsevier DOI Relaxation. BibRef 9209

Terzopoulos, D., and Szeliski, R.,
Tracking with Kalman Snakes,
Active(3-20), 1992. BibRef 9200

Gemello, R.[Roberto], Lettera, C.[Cataldo], Masera, L.[Lorenzo],
Method of and device for moving image contour recognition,
US_Patent5,103,488, Apr 7, 1992
WWW Link. BibRef 9204

Wang, Y.[Yao], Lee, O.[Ouseb],
Active Mesh: A Feature Seeking and Tracking Image Sequence Representation Scheme,
IP(3), No. 5, September 1994, pp. 610-624.
IEEE DOI BibRef 9409

Delanges, P., Benois, J., Barba, D.,
Active Contours Approach to Object Tracking in Image Sequences With Complex Background,
PRL(16), No. 2, February 1995, pp. 171-178. BibRef 9502

Vieren, C., Cabestaing, F., Postaire, J.G.,
Catching Moving-Objects with Snakes for Motion Tracking,
PRL(16), No. 7, July 1995, pp. 679-685. BibRef 9507

Demi, M.[Marcello],
Contour Tracking by Enhancing Corners and Junctions,
CVIU(63), No. 1, January 1996, pp. 118-134.
DOI Link BibRef 9601

Demi, M.[Marcello],
Contour Tracking with a Spatio-Temporal Intensity Moment,
PAMI(38), No. 6, June 2016, pp. 1141-1154.
IEEE DOI 1605
Adaptive optics BibRef

Gemignani, V.[Vincenzo], Paterni, M., Benassi, A., Demi, M.[Marcello],
Real time contour tracking with a new edge detector,
RealTimeImg(10), No. 2, April 2004, pp. 103-116.
Elsevier DOI 0405
BibRef

Demi, M.[Marcello], Bianchini, E.[Elisabetta], Faita, F.[Francesco], Gemignani, V.[Vincenzo],
Contour Tracking When Two Gray-Level Discontinuities Are Close to Each Other,
CIARP08(585-592).
Springer DOI 0809
BibRef

Gemignani, V., Provvedi, S., Demi, M., Paterni, M., Benassi, A.,
A DSP-based real time contour tracking system,
CIAP99(630-635).
IEEE DOI 9909
BibRef

Kumar, A., Tannenbaum, A.R., Balas, G.J.,
Optical-Flow: A Curve Evolution Approach,
IP(5), No. 4, April 1996, pp. 598-610.
IEEE DOI 9605
BibRef
Earlier: ICIP95(III: 17-20).
IEEE DOI 9510
BibRef

Kichenassamy, S.[Satyanad], Kumar, A.[Arun], Olver, P.J.[Peter J.], Tannenbaum, A.R.[Allen R.], Yezzi, Jr., A.J.[Anthony J.],
Gradient Flows and Geometric Active Contour Models,
ICCV95(810-815).
IEEE DOI BibRef 9500

Hoch, M., and Litwinowicz, P.C.,
A Semi-Automatic System for Edge Tracking with Snakes,
VC(12), 1996, pp. 75-83. BibRef 9600

Ueda, N., and Mase, K.,
Tracking Moving Contours Using Energy-Minimizing Elastic Contour Models,
PRAI(9), 1995, pp. 465-484. BibRef 9500
Earlier: ECCV92(453-457).
Springer DOI BibRef

Xie, M.,
Tracking Closed Curves by a Matching Process,
PRL(14), 1993, pp. 103-110. BibRef 9300

Xie, M.,
3D Motion Estimation from Combined 2D-3D Data of Line Segments,
PRL(14), 1993, pp. 191-197. BibRef 9300

Noordmans, H.J., Smeulders, A.W.M.,
High-Accuracy Tracking of 2D/3D Curved Line Structures by Consecutive Cross Section Matching,
PRL(19), No. 1, January 1998, pp. 97-111. 9807
BibRef

Kim, J.H.[Jin-Hun],
Method for encoding a contour of an object in a video signal by using a contour motion estimation technique,
US_Patent5,635,986, Jun 3, 1997
WWW Link. BibRef 9706
And:
Apparatus for encoding a contour of an object,
US_Patent5,691,769, Nov 25, 1997
WWW Link. BibRef
And:
Method and apparatus for encoding a contour image of an object in a video signal,
US_Patent5,793,893, Aug 11, 1998
WWW Link. BibRef
And:
Method and apparatus for encoding a video signal of a contour of an object,
US_Patent5,757,971, May 26, 1998
WWW Link. BibRef
And:
Method and apparatus for coding a contour of an object employing temporal correlation thereof,
US_Patent6,011,588, Jan 4, 2000
WWW Link. BibRef

Kim, J.H.[Jin-Hun], Kim, J.L.[Jong-Lak],
Contour approximation apparatus for representing a contour of an object,
US_Patent6,259,818, Jul 10, 2001
WWW Link. BibRef 0107

Kim, J.R.[Jong-Rak],
Apparatus for encoding/decoding an image signal having a still object,
US_Patent5,675,669, Oct 7, 1997
WWW Link. BibRef 9710

Lam, C.L., Yuen, S.Y.,
An Unbiased Active Contour Algorithm for Object Tracking,
PRL(19), No. 5-6, April 1998, pp. 491-498. 9808
BibRef

Fidrich, M.[Marta],
Iso-Surface Extraction in ND Applied to Tracking Feature Curves Across Scale,
IVC(16), No. 8, June 1998, pp. 545-556.
Elsevier DOI 9807
BibRef
Earlier:
Following Feature Lines Across Scale,
ScaleSpace97(xx). 9702
BibRef

Herman, G.T.[Gabor T.], Robinson, D.[David],
Digital Boundary Tracking,
PAA(1), No. 1, 1998, pp. 2-17. BibRef 9800

Peterfreund, N.[Natan],
The Velocity Snake: Deformable Contour for Tracking in Spatio-Velocity Space,
CVIU(73), No. 3, March 1999, pp. 346-356.
DOI Link BibRef 9903
Earlier:
Robust Tracking with Spatio-Velocity Snakes: Kalman Filtering Approach,
ICCV98(433-439).
IEEE DOI BibRef

Peterfreund, N.,
Robust Tracking of Position and Velocity With Kalman Snakes,
PAMI(21), No. 6, June 1999, pp. 564-569.
IEEE DOI Gradient of image and optical flow along boundary. BibRef 9906

Peterfreund, N.,
The PDAF based Active Contour,
ICCV99(227-233).
IEEE DOI BibRef 9900

Zaritsky, R.[Reuven], Peterfreund, N.[Natan], Shimkin, N.[Nahum],
Velocity-Guided Tracking of Deformable Contours in Three Dimensional Space,
IJCV(51), No. 3, February-March 2003, pp. 219-238.
DOI Link 0301
BibRef
Earlier: ECCV00(I: 251-266).
Springer DOI 0003
BibRef

Daoudi, M., Ghorbel, F., Mokadem, A., Avaro, O., Sanson, H.,
Shape distances for contour tracking and motion estimation,
PR(32), No. 7, July 1999, pp. 1297-1306.
Elsevier DOI BibRef 9907

Denzler, J., Niemann, H.,
3D Data-Driven Prediction for Active Contour Models Based on Geometric Bounding Volumes,
PRL(17), No. 11, September 16 1996, pp. 1171-1178.
PS File. 9611
BibRef

Denzler, J., Niemann, H.,
Active Rays: Polar-transformed Active Contours for Real-Time Contour Tracking,
RealTimeImg(5), No. 3, June 1999, pp. 203-213.
PS File. BibRef 9906

Denzler, J., Heigl, B., Niemann, H.,
An Efficient Combination of 2-D and 3-D Shape Descriptions for Contour-Based Tracking of Moving Objects,
ECCV98(I: 843).
Springer DOI
PS File. BibRef 9800

Kasprzak, W.[Wlodzimierz], Niemann, H.[Heinrich],
Visual motion estimation from image contour tracking,
CAIP93(363-370).
Springer DOI 9309
BibRef

Shah, J.[Jayant],
Riemannian Drums, Anisotropic Curve Evolution, and Segmentation,
JVCIR(11), No. 2, June 2000, pp. 142-153. 0008
BibRef
Earlier: ScaleSpace99(129-140). BibRef
Earlier:
Segmentation as a Riemannian drum problem,
ICIP98(III: 766-769).
IEEE DOI 9810
BibRef

Shah, J.[Jayant],
A Common Framework for Curve Evolution, Segmentation and Anisotropic Diffusion,
CVPR96(136-142).
IEEE DOI BibRef 9600
And:
Curve Evolution and Segmentation Functionals: Application to Color Images,
ICIP96(I: 461-464).
IEEE DOI BibRef

Shah, J.[Jayant],
Recovery of Shapes by Evolution of Zero-Crossings,
TRNortheastern Univ. 1995. BibRef 9500

Shah, J.[Jayant],
Elastica with Hinges,
JVCIR(13), No. 1/2, March/June 2002, pp. 36-43.
DOI Link 0204
BibRef

Freedman, D.[Daniel], Brandstein, M.S.[Michael S.],
Contour Tracking in Clutter: A Subset Approach,
IJCV(38), No. 2, July 2000, pp. 173-186.
DOI Link 0008
BibRef
Earlier:
A Subset Approach to Contour Tracking in Clutter,
ICCV99(242-247).
IEEE DOI BibRef

Freedman, D.[Daniel], Brandstein, M.S.[Michael S.],
Provably Fast Algorithms for Contour Tracking,
CVPR00(I: 139-144).
IEEE DOI 0005
BibRef

Freedman, D.[Daniel],
Effective Tracking Through Tree-Search,
PAMI(25), No. 5, May 2003, pp. 604-615.
IEEE Abstract. 0304
Tracking is a matching problem between curves (edges) in the images. BibRef

Freedman, D., Zhang, T.,
Active Contours for Tracking Distributions,
IP(13), No. 4, April 2004, pp. 518-526.
IEEE DOI 0404
BibRef

Zhang, T.[Tao], Freedman, D.[Daniel],
Improving Performance of Distribution Tracking through Background Mismatch,
PAMI(27), No. 2, February 2005, pp. 282-287.
IEEE Abstract. 0501
BibRef

Freedman, D.[Daniel], Zhang, T.[Tao],
Interactive Graph Cut Based Segmentation with Shape Priors,
CVPR05(I: 755-762).
IEEE DOI 0507
BibRef

Freedman, D.[Daniel], Radke, R.J.[Richard J.], Zhang, T.[Tao], Jeong, Y.[Yongwon], Lovelock, D.M., Chen, G.T.Y.[George T. Y.],
Model-Based Segmentation of Medical Imagery by Matching Distributions,
MedImg(24), No. 3, March 2005, pp. 281-292.
IEEE Abstract. 0501
BibRef

Freedman, D.[Daniel], Radke, R.J.[Richard J.], Zhang, T.[Tao], Jeong, Y.W.[Yong-Won], Chen, G.T.Y.[George T. Y.],
Model-Based Multi-Object Segmentation via Distribution Matching,
Non-Rigid04(11).
IEEE DOI 0502
BibRef

Jang, D.S., Kim, G.Y., Choi, H.I.,
Model-Based Tracking of Moving Object,
PR(30), No. 6, June 1997, pp. 999-1008.
Elsevier DOI 9706
BibRef

Jang, D.S.[Dae-Sik], Choi, H.I.[Hyung-Il],
Active models for tracking moving objects,
PR(33), No. 7, July 2000, pp. 1135-1146.
Elsevier DOI 0005
BibRef
Earlier:
Moving object tracking using active models,
ICIP98(III: 648-652).
IEEE DOI 9810
BibRef
And:
Moving Object Tracking by Optimizing Active Models,
ICPR98(Vol I: 738-740).
IEEE DOI 9808
BibRef

Wallace, A.M.,
Tracking and Semantic Labeling of Boundary Data,
PRAI(13), No. 6, September 1999, pp. 859. 0005
BibRef

Bertalmío, M.[Marcelo], Sapiro, G.[Guillermo], Randall, G.[Gregory],
Morphing Active Contours,
PAMI(22), No. 7, July 2000, pp. 733-737.
IEEE DOI 0008
BibRef
Earlier: ScaleSpace99(46-57). BibRef
Earlier:
Morphing active contours: a geometric approach to topology-independent image segmentation and tracking,
ICIP98(III: 318-322).
IEEE DOI 9810
Tracking objects. BibRef

Bertalmío, M.[Marcelo], Sapiro, G.[Guillermo], Randall, G.[Gregory],
Region Tracking on Level-Sets Methods,
MedImg(18), No. 5, May 1999, pp. 448-451.
IEEE Top Reference. 0110
BibRef
Earlier: ScaleSpace99(330-338). BibRef

Cardelino, J.[Juan], Caselles, V.[Vicent], Bertalmío, M.[Marcelo], Randall, G.[Gregory],
A Contrario Selection of Optimal Partitions for Image Segmentation,
SIIMS(6), No. 3, 2013, pp. 1274-1317.
DOI Link 1310
BibRef
Earlier:
A contrario hierarchical image segmentation,
ICIP09(4041-4044).
IEEE DOI 0911
BibRef
Earlier: A1, A4, A3, A2:
Region Based Segmentation Using the Tree of Shapes,
ICIP06(2421-2424).
IEEE DOI 0610
BibRef

Cardelino, J., Randall, G., Bertalmio, M.,
An Active Regions Approach for the Segmentation of 3D Biological Tissue,
ICIP05(I: 277-280).
IEEE DOI 0512
BibRef

Blake, A.[Andrew], Isard, M.[Michael], Reynard, D.[David],
Learning to Track the Visual-Motion of Contours,
AI(78), No. 1-2, October 1995, pp. 179-212.
Elsevier DOI BibRef 9510

Isard, M.[Michael], Blake, A.[Andrew],
C-Conditional Density Propagation for Visual Tracking,
IJCV(29), No. 1, August 1998, pp. 5-28.
DOI Link 0010
BibRef
Earlier:
Contour Tracking by Stochastic Propagation of Conditional Density,
ECCV96(I:343-356).
Springer DOI Award, ECCV. Award, Koenderink Prize. BibRef
Earlier:
ICONDENSATION: Unifying Low-Level and High-Level Tracking in a Stochastic Framework,
ECCV98(I: 893).
Springer DOI BibRef
Earlier:
A Smoothing Filter for CONDENSATION,
ECCV98(I: 767).
Springer DOI BibRef
And:
A Mixed-State Condensation Tracker with Automatic Model-Switching,
ICCV98(107-112).
IEEE DOI Tracks multiple objects and flexible objects. Tracking curves in dense visual clutter. The condensation algorithm simulates a probabilistic propagation process by three steps: drift, diffuse and measure. BibRef

Blake, A.[Andrew], and Isard, M.[Michael],
Active Contours: The Application of Techniques from Graphics, Vision, Control Theory and Statistics to Visual Tracking of Shapes in Motion,
Springer-VerlagNew York, 1998. ISBN 3-540-76217-5.
WWW Link. Develop models to use in tracking. BibRef 9800

Precioso, F.[Frederic], Barlaud, M.[Michel],
B-Spline Active Contour with Handling of Topology Changes for Fast Video Segmentation,
JASP(2002), No. 6, June 2002, pp. 555-560. 0208
BibRef
Earlier:
Regular Spatial B-Spline Active Contour for Fast Video Segmentation,
ICIP02(II: 761-764).
IEEE DOI 0210
BibRef
Earlier:
B-spline Active Contours for Fast Video Segmentation,
ICIP01(II: 777-780).
IEEE DOI 0108
BibRef

Hamarneh, G.[Ghassan], Gustavsson, T.[Tomas],
Deformable spatio-temporal shape models: extending active shape models to 2D+time,
IVC(22), No. 6, 1 June 2004, pp. 461-470.
Elsevier DOI 0403
BibRef
Earlier:
Deformable Spatio-Temporal Shape Models: Extending ASM to 2D+Time,
BMVC01(Session 1: Modelling Shape).
HTML Version. Chalmers University 0110
BibRef

Mansouri, A.R., Mukherjee, D.P.[Dipti Prasad], Acton, S.T.[Scott T.],
Constraining active contour evolution via Lie Groups of transformation,
IP(13), No. 6, June 2004, pp. 853-863.
IEEE DOI 0406
The final curve is related to the initial curve through an element of a desired Lie group of plane transformations. BibRef

Mukherjee, D.P.[Dipti Prasad], Acton, S.T.[Scott T.],
Affine and projective active contour models,
PR(40), No. 3, March 2007, pp. 920-930.
Elsevier DOI 0611
Tracking in video; Active contours; Affine transformation; Projective transformation BibRef

Basu, S.[Saurav], Acton, S.T.[Scott T.],
Symmetry constrained shape evolution in shape manifolds for shape based retrieval,
ICIP10(4273-4276).
IEEE DOI 1009
BibRef
Earlier:
Object segmentation by traversing a pose-shape manifold,
ICIP09(1093-1096).
IEEE DOI 0911
BibRef

Basu, S.[Saurav], Mukherjee, D.P.[Dipti Prasad], Acton, S.T.[Scott T.],
Implicit Evolution of Open Ended Curves,
ICIP07(I: 261-264).
IEEE DOI 0709
BibRef

Yang, C.[Clare], Acton, S.T.[Scott T.],
External forces for active contours via multi-scale vector field convolution,
ICIP12(2569-2572).
IEEE DOI 1302
BibRef

Das, S.K.[Sitansu Kumar], Mukherjee, D.P.[Dipti Prasad],
Parametric active membrane for segmentation of multiple objects in an image,
PR(44), No. 2, February 2011, pp. 173-186.
Elsevier DOI 1011
Active membrane; Topology adaptive parametric model; Segmentation of multiple objects; Finite elements; Energy minimization BibRef

Giusto, D.D.[Daniele D.], Massidda, F.[Francesco], Perra, C.[Cristian],
FACE: fast active-contour curvature-based evolution,
SP:IC(19), No. 6, July 2004, pp. 517-538.
Elsevier DOI 0409
BibRef

Wang, Y.[Yue], Teoh, E.K.[Eam Khwang],
Dynamic B-snake model for complex objects segmentation,
IVC(23), No. 12, 1 November 2005, pp. 1029-1040.
Elsevier DOI 0510
Estimate the control positions. BibRef

Wang, Y.[Yue], Teoh, E.K.[Eam Khwang],
Object Contour Extraction Using Adaptive B-Snake Model,
JMIV(24), No. 3, May 2006, pp. 295-306.
Springer DOI 0605
BibRef

Wang, Y.[Yue], Teoh, E.K.[Eam Khwang], Hou, Z.J.[Zu-Jun], Wang, J.G.[Jian-Gang],
Object boundary extraction using Active B-Snake Model,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Wang, Y.[Yue], Teoh, E.K.[Eam Khwang], Shen, D.,
Structure-adaptive B-snake for Segmenting Complex Objects,
ICIP01(II: 769-772).
IEEE DOI 0108
BibRef

Park, S.C.[Sang-Cheol], Lim, S.H.[Sung-Hoon], Sin, B.K.[Bong-Kee], Lee, S.W.[Seong-Whan],
Tracking non-rigid objects using probabilistic Hausdorff distance matching,
PR(38), No. 12, December 2005, pp. 2373-2384.
Elsevier DOI 0510
Predict next frame. BibRef

Sundaramoorthi, G.[Ganesh], Yezzi, Jr., A.J.[Anthony J.],
Global Regularizing Flows With Topology Preservation for Active Contours and Polygons,
IP(16), No. 3, March 2007, pp. 803-812.
IEEE DOI 0703
BibRef
Earlier:
More-Than-Topology-Preserving Flows for Active Contours and Polygons,
ICCV05(II: 1276-1283).
IEEE DOI 0510
BibRef

Sundaramoorthi, G.[Ganesh], Yezzi, Jr., A.J.[Anthony J.], Mennucci, A.C.[Andrea C.],
Sobolev Active Contours,
IJCV(73), No. 3, July 2007, pp. 345-366.
Springer DOI 0703
BibRef

Sundaramoorthi, G.[Ganesh], Yezzi, Jr., A.J.[Anthony J.], Mennucci, A.C.[Andrea C.],
Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours,
PAMI(30), No. 5, May 2008, pp. 851-864.
IEEE DOI 0803
BibRef

Sundaramoorthi, G.[Ganesh], Yezzi, A.J.[Anthony J.], Mennucci, A.C.[Andrea C.], Sapiro, G.R.[Guillermo R.],
New Possibilities with Sobolev Active Contours,
IJCV(84), No. 2, August 2009, pp. xx-yy.
Springer DOI 0906
BibRef
Earlier: SSVM07(153-164).
Springer DOI 0705
BibRef

Sundaramoorthi, G.[Ganesh], Soatto, S.[Stefano], Yezzi, A.J.[Anthony J.],
Curious snakes: A minimum latency solution to the cluttered background problem in active contours,
CVPR10(2855-2862).
IEEE DOI 1006
BibRef

Sundaramoorthi, G.[Ganesh], Mennucci, A.C.[Andrea C.], Soatto, S.[Stefano], Yezzi, Jr., A.J.[Anthony J.],
A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering,
SIIMS(4), No. 1, 2011, pp. 109-145.
DOI Link visual object tracking; shape analysis; filtering in the space of curves; Sobolev-type metrics BibRef 1100

Yang, Y.C.[Yan-Chao], Lu, Z.J.[Zhao-Jin], Sundaramoorthi, G.[Ganesh],
Coarse-to-fine region selection and matching,
CVPR15(5051-5059)
IEEE DOI 1510
BibRef

Sundaramoorthi, G.[Ganesh], Jackson, J.D.[Jeremy D.], Yezzi, Jr., A.J.[Anthony J.], Mennucci, A.C.[Andrea C.],
Tracking With Sobolev Active Contours,
CVPR06(I: 674-680).
IEEE DOI 0606
BibRef

Yezzi, Jr., A.J.[Anthony J.], Mennucci, A.C.[Andrea C.],
Conformal Metrics and True 'Gradient Flows' for Curves,
ICCV05(I: 913-919).
IEEE DOI 0510
BibRef

Rathi, Y.[Yogesh], Vaswani, N.[Namrata], Tannenbaum, A.[Allen],
A Generic Framework for Tracking Using Particle Filter With Dynamic Shape Prior,
IP(16), No. 5, May 2007, pp. 1370-1382.
IEEE DOI 0704
BibRef

Rathi, Y.[Yogesh], Vaswani, N.[Namrata], Tannenbaum, A.[Allen], Yezzi, A.J.[Anthony J.],
Tracking Deforming Objects Using Particle Filtering for Geometric Active Contours,
PAMI(29), No. 8, August 2007, pp. 1470-1475.
IEEE DOI 0707
BibRef
Earlier:
Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects,
CVPR05(II: 2-9).
IEEE DOI 0507
BibRef

Vaswani, N.[Namrata], Rathi, Y.[Yogesh], Yezzi, A.J., Tannenbaum, A.[Allen],
Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations,
IP(19), No. 4, April 2010, pp. 841-857.
IEEE DOI 1003
BibRef

Das, S.[Samarjit], Vaswani, N.[Namrata],
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications,
PAMI(32), No. 4, April 2010, pp. 579-592.
IEEE DOI 1003
BibRef
Earlier:
Model-based compression of nonstationary landmark shape sequences,
ICIP08(1168-1171).
IEEE DOI 0810
Statistical model for shape change of key points of interest.
See also Shape Activity: a continuous-state HMM for moving/deforming shapes with application to abnormal activity detection. BibRef

Dambreville, S.[Samuel], Yezzi, A.J.[Anthony J.], Lankton, S.[Shawn], Tannenbaum, A.[Allen],
TAC: Thresholding active contours,
ICIP08(745-748).
IEEE DOI
PDF File. 0810
BibRef

Rathi, Y.[Yogesh], Dambreville, S.[Samuel], Tannenbaum, A.[Allen],
Particle Filtering with Dynamic Shape Priors,
ICIAR06(I: 886-897).
Springer DOI 0610
BibRef

Ndiour, I.J.[Ibrahima J.], Teizer, J.[Jochen], Vela, P.A.[Patricio A.],
A Probabilistic Contour Observer For Online Visual Tracking,
SIIMS(3), No. 4, 2010, pp. 835-855.
DOI Link 1011
visual tracking; contour tracking; observer; shape; filtering BibRef

Pryor, G.D., Vela, P.A., Rehman, T.U., Tannenbaum, A.,
Layered Active Contours for Tracking,
BMVC07(xx-yy).
PDF File. 0709
BibRef

Shao, J.[Jie], Porikli, F.M.[Fatih M.], Chellappa, R.[Rama],
Estimation of contour motion and deformation for nonrigid object tracking,
JOSA-A(24), No. 8, August 2007, pp. 2109-2121.
WWW Link. 0801
BibRef

Unal, G.[Gozde], Slabaugh, G.G.[Gregory G.],
Estimation of Vector Fields in Unconstrained and Inequality Constrained Variational Problems for Segmentation and Registration,
JMIV(31), No. 1, May 2008, pp. xx-yy.
Springer DOI 0804
BibRef
Earlier:
Coupled PDEs for Non-Rigid Registration and Segmentation,
CVPR05(I: 168-175).
IEEE DOI 0507
BibRef

Slabaugh, G.G.[Gregory G.], Unal, G.,
Graph Cuts Segmentation Using an Elliptical Shape Prior,
ICIP05(II: 1222-1225).
IEEE DOI 0512
BibRef

Slabaugh, G.G.[Gregory G.], Dinh, H.Q.[H. Quynh], Unal, G.[Gozde],
A Variational Approach to the Evolution of Radial Basis Functions for Image Segmentation,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Peny, B.[Bertrand], Unal, G.[Gozde], Slabaugh, G.G.[Gregory G.], Fang, T.[Tong], Alvino, C.[Christopher],
Efficient and Robust Segmentations Based on Eikonal and Diffusion PDEs,
IWICPAS06(339-348).
Springer DOI 0608
BibRef

Baust, M.[Maximilian], Yezzi, A.J.[Anthony J.], Unal, G.[Gozde], Navab, N.[Nassir],
Translation, Scale, and Deformation Weighted Polar Active Contours,
JMIV(44), No. 3, November 2012, pp. 354-365.
WWW Link. 1209
BibRef
Earlier:
A Sobolev-type metric for polar active contours,
CVPR11(1017-1024).
IEEE DOI 1106
BibRef

Baust, M.[Maximilian], Navab, N.[Nassir],
A Fully Implicit Framework for Sobolev Active Contours and Surfaces,
DAGM11(21-30).
Springer DOI 1109
BibRef
And:
A Spherical Harmonics Shape Model for Level Set Segmentation,
ECCV10(III: 580-593).
Springer DOI 1009
BibRef

Baust, M.[Maximilian], Zikic, D.[Darko], Navab, N.[Nassir],
Variational Level Set Segmentation in Riemannian Sobolev Spaces,
BMVC14(xx-yy).
HTML Version. 1410
BibRef
Earlier:
Diffusion-based Regularisation Strategies for Variational Level Set Segmentation,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Stefanoiu, A., Weinmann, A., Storath, M., Navab, N.[Nassir], Baust, M.[Maximilian],
Joint Segmentation and Shape Regularization With a Generalized Forward-Backward Algorithm,
IP(25), No. 7, July 2016, pp. 3384-3394.
IEEE DOI 1606
Active contours BibRef

Gouet-Brunet, V.[Valerie], Lameyre, B.[Bruno],
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CVIU(111), No. 1, July 2008, pp. 86-109.
Elsevier DOI 0711
BibRef
Earlier:
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BMVC04(xx-yy).
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Video surveillance; Object recognition; Object localization and segmentation; Local descriptors; Bottom-up and top-down features BibRef

Lee, B.H.[Boo Hwan], Choi, I.[Il], Jeon, G.J.[Gi Joon],
Motion-Based Boundary Tracking of Moving Object Using Parametric Active Contour Model,
IEICE(E90-D), No. 1, January 2007, pp. 355-363.
DOI Link 0701
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Sun, W., Cetin, M., Chan, R., Willsky, A.S.,
Learning the Dynamics and Time-Recursive Boundary Detection of Deformable Objects,
IP(17), No. 11, November 2008, pp. 1-1.
IEEE DOI 0810
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Yu, H.C.[Hong-Chuan], Bennamoun, M.[Mohammed], Chua, C.S.[Chin-Seng],
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IVC(27), No. 4, 3 March 2009, pp. 342-353.
Elsevier DOI 0804
Min/max flow framework; Anisotropic diffusion; Boundary leaking; Image segmentation; Region tracking BibRef

Dzyubachyk, O., van Cappellen, W.A., Essers, J., Niessen, W.J., Meijering, E.H.W.,
Advanced Level-Set-Based Cell Tracking in Time-Lapse Fluorescence Microscopy,
MedImg(29), No. 3, March 2010, pp. 852-867.
IEEE DOI 1003
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And: Correction: MedImg(29), No. 6, June 2010, pp. 1331-1331.
IEEE DOI 1007
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Iqbal, S.[Shahzaib], Khan, T.M.[Tariq M.], Naqvi, S.S.[Syed S.], Naveed, A.[Asim], Meijering, E.H.W.[Erik H.W.],
TBConvL-Net: A hybrid deep learning architecture for robust medical image segmentation,
PR(158), 2025, pp. 111028.
Elsevier DOI 2411
Medical image segmentation, CNN, LSTM, Vision transformers BibRef

Málková, M.[Martina], Parus, J.[Jindrich], Kolingerová, I.[Ivana], Beneš, B.[Bedrich],
An intuitive polygon morphing,
VC(26), No. 3, March 2010, pp. xx-yy.
Springer DOI 1003
For graphics. BibRef

Chen, P.F.[Ping-Feng], Krim, H., Mendoza, O.L.,
Multiphase Joint Segmentation-Registration and Object Tracking for Layered Images,
IP(19), No. 7, July 2010, pp. 1706-1719.
IEEE DOI 1007
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Unel, M.[Mustafa], Ghosh, B.K.[Bijoy K.], Yazicioglu, A.Y.[Ahmet Y.],
Modeling and Estimation of the Dynamics of Planar Algebraic Curves via Riccati Equations,
JMIV(38), No. 2, October 2010, pp. 139-158.
WWW Link. 1011
In rigid and affine motion. BibRef

Burgeth, B.[Bernhard], Pizarro, L.[Luis], Breuß, M.[Michael], Weickert, J.[Joachim],
Adaptive Continuous-Scale Morphology for Matrix Fields,
IJCV(92), No. 2, April 2011, pp. 146-161.
WWW Link. 1103
BibRef
Earlier: A1, A3, A2, A4:
PDE-Driven Adaptive Morphology for Matrix Fields,
SSVM09(247-258).
Springer DOI 0906
BibRef
Earlier: A3, A1, A4, Only:
Anisotropic Continuous-Scale Morphology,
IbPRIA07(II: 515-522).
Springer DOI 0706

See also Morphological Amoebas Are Self-snakes. BibRef

Pizarro, L.[Luis], Burgeth, B.[Bernhard], Breuß, M.[Michael], Weickert, J.[Joachim],
A Directional Rouy-Tourin Scheme for Adaptive Matrix-Valued Morphology,
ISMM09(250-260).
Springer DOI 0908
BibRef

Pizarro, L.[Luis], Burgeth, B.[Bernhard], Didas, S.[Stephan], Weickert, J.[Joachim],
A Generic Neighbourhood Filtering Framework for Matrix Fields,
ECCV08(III: 521-532).
Springer DOI 0810
BibRef

Burgeth, B.[Bernhard], Didas, S.[Stephan], Florack, L.M.J.[Luc M.J.], Weickert, J.[Joachim],
A Generic Approach to the Filtering of Matrix Fields with Singular PDEs,
SSVM07(556-567).
Springer DOI 0705
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Didas, S.[Stephan], Weickert, J.[Joachim],
Combining Curvature Motion and Edge-Preserving Denoising,
SSVM07(568-579).
Springer DOI 0705
BibRef

Zhao, X.L.[Xiao-Lin], Yu, X.[Xin], Sun, L.G.[Li-Guo], Hu, K.Q.[Kang-Qiao], Wang, G.J.[Gui-Jin], Zhang, L.[Li],
Non-rigid Object Tracking as Salient Region Segmentation and Association,
IEICE(E94-D), No. 4, April 2011, pp. 934-937.
WWW Link. 1104
BibRef

Chen, P., Qian, H., Wang, W., Zhu, M.,
Contour tracking using Gaussian particle filter,
IET-IPR(5), No. 5, 2011, pp. 440-447.
DOI Link 1108
BibRef

Cai, L., He, L., Yamashita, T., Xu, Y., Zhao, Y., Yang, X.,
Robust Contour Tracking by Combining Region and Boundary Information,
CirSysVideo(21), No. 12, December 2011, pp. 1784-1794.
IEEE DOI 1112
BibRef

Song, Y.Q.[Yu-Qing], Jin, S.Y.[Shu-Yuan],
Matching sequences of salient contour points characterized by Voronoi region features,
VC(28), No. 5, May 2012, pp. 475-491.
WWW Link. 1204
BibRef

Chang, J.C., Brennan, K.C., Chou, T.,
Tracking Monotonically Advancing Boundaries in Image Sequences Using Graph Cuts and Recursive Kernel Shape Priors,
MedImg(31), No. 5, May 2012, pp. 1008-1020.
IEEE DOI 1202
BibRef

Chang, J.C.[Joshua C.], Chou, T.[Tom],
Iterative Graph Cuts for Image Segmentation with a Nonlinear Statistical Shape Prior,
JMIV(49), No. 1, May 2014, pp. 87-97.
WWW Link. 1404
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Shah, P.[Pratik], Chatterji, S.[Samaresh],
On the Curve Reconstruction in Riemannian Manifolds,
JMIV(45), No. 1, January 2013, pp. 55-68.
WWW Link. 1301
extend the computational geometric curve reconstruction approach. BibRef

Hu, W., Zhou, X., Li, W., Luo, W., Zhang, X., Maybank, S.J.,
Active Contour-Based Visual Tracking by Integrating Colors, Shapes, and Motions,
IP(22), No. 5, May 2013, pp. 1778-1792.
IEEE DOI 1303
BibRef

Heber, M.[Markus], Godec, M.[Martin], Rother, M.[Matthias], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Segmentation-based tracking by support fusion,
CVIU(117), No. 6, June 2013, pp. 573-586.
Elsevier DOI 1304
Tracking output fusion; Object segmentation; Iterative refinement BibRef

Simon, K.[Konrad], Sheorey, S.[Sameer], Jacobs, D.W.[David W.], Basri, R.[Ronen],
A Linear Elastic Force Optimization Model for Shape Matching,
JMIV(51), No. 2, February 2015, pp. 260-278.
Springer DOI 1503
BibRef

Li, Y.C.[Yao-Chen], Su, Y.Q.[Yuan-Qi], Liu, Y.H.[Yue-Hu],
Fast two-cycle curve evolution with narrow perception of background for object tracking and contour refinement,
SP:IC(44), No. 1, 2016, pp. 29-43.
Elsevier DOI 1605
Object tracking BibRef

Du, D., Qi, H., Li, W., Wen, L., Huang, Q., Lyu, S.,
Online Deformable Object Tracking Based on Structure-Aware Hyper-Graph,
IP(25), No. 8, August 2016, pp. 3572-3584.
IEEE DOI 1608
graph theory BibRef

Li, S., Du, D., Wen, L., Chang, M.C., Lyu, S.,
Hybrid structure hypergraph for online deformable object tracking,
ICIP17(1127-1131)
IEEE DOI 1803
Approximation algorithms, Deformable models, Indexes, Object tracking, Strain, Target tracking, Task analysis, non-uniform hyper-graph BibRef

Du, D., Wen, L., Qi, H., Huang, Q., Tian, Q., Lyu, S.,
Iterative Graph Seeking for Object Tracking,
IP(27), No. 4, April 2018, pp. 1809-1821.
IEEE DOI 1802
Benchmark testing, Correlation, Minimization, Object tracking, State estimation, Strain, Target tracking, Object tracking, iterative graph seeking BibRef

Du, D., Qi, H., Wen, L., Tian, Q., Huang, Q., Lyu, S.,
Geometric Hypergraph Learning for Visual Tracking,
Cyber(47), No. 12, December 2017, pp. 4182-4195.
IEEE DOI 1712
Computers, Data mining, Laboratories, Robustness, Target tracking, Visualization, Confidence-aware sampling, visual tracking BibRef

Wen, L., Lei, Z., Lyu, S., Li, S.Z., Yang, M.H.,
Exploiting Hierarchical Dense Structures on Hypergraphs for Multi-Object Tracking,
PAMI(38), No. 10, October 2016, pp. 1983-1996.
IEEE DOI 1609
Algorithm design and analysis BibRef

Lukežic, A., Cehovin Zajc, L., Kristan, M.,
Deformable Parts Correlation Filters for Robust Visual Tracking,
Cyber(48), No. 6, June 2018, pp. 1849-1861.
IEEE DOI 1805
Correlation, Deformable models, Image color analysis, Optimization, Target tracking, Topology, Visualization, visual object tracking BibRef

Liu, W., Song, Y., Chen, D., He, S., Yu, Y., Yan, T., Hancke, G.P., Lau, R.W.H.[Rynson W.H.],
Deformable Object Tracking With Gated Fusion,
IP(28), No. 8, August 2019, pp. 3766-3777.
IEEE DOI 1907
convolutional neural nets, image classification, image representation, object detection, object tracking, gating BibRef

Yousef, A.H.[Ahmed Hassan], El Munim, H.E.A.[Hossam E. Abd],
A GPU-based elastic shape registration approach in implicit spaces,
RealTimeIP(16), No. 6, December 2019, pp. 2059-2071.
WWW Link. 1912
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Fechter, T., Baltas, D.,
One-Shot Learning for Deformable Medical Image Registration and Periodic Motion Tracking,
MedImg(39), No. 7, July 2020, pp. 2506-2517.
IEEE DOI 2007
Strain, Image registration, Biomedical imaging, Training, Tracking, Registers, Machine learning, registration BibRef

Wang, B.[Bin], Tao, D.P.[Da-Peng], Dong, R.[Rui], Tang, Y.[Yuanyan], Gao, X.B.[Xin-Bo],
A Contour Co-Tracking Method for Image Pairs,
IP(30), 2021, pp. 5402-5412.
IEEE DOI 2106
Image segmentation, Probability distribution, Mathematical model, Proposals, Nonhomogeneous media, Level set, Active contours, Hellinger distance BibRef

Cai, Q.[Qing], Liu, H.Y.[Hui-Ying], Qian, Y.M.[Yi-Ming], Zhou, S.P.[San-Ping], Wang, J.J.[Jin-Jun], Yang, Y.H.[Yee-Hong],
A Novel Hybrid Level Set Model for Non-Rigid Object Contour Tracking,
IP(31), 2022, pp. 15-29.
IEEE DOI 2112
Training, Support vector machines, Target tracking, Level set, Image edge detection, Detectors, Benchmark testing, non-rigid object contour tracking BibRef

Zhao, J.[Jie], Dai, K.[Kenan], Zhang, P.Y.[Peng-Yu], Wang, D.[Dong], Lu, H.C.[Hu-Chuan],
Robust Online Tracking With Meta-Updater,
PAMI(45), No. 5, May 2023, pp. 6168-6182.
IEEE DOI 2304
Target tracking, Biological system modeling, Transformers, Task analysis, Correlation, Benchmark testing, Visualization, visual tracking BibRef

Das, S., Bhandarkar, S.M., Chowdhury, A.S.,
An intensity- and region-guided narrow-band level set model for contour tracking,
ICPR16(2722-2727)
IEEE DOI 1705
Computational modeling, Histograms, Level set, Markov processes, Shape, Target, tracking BibRef

Boulnemour, I., Boucheham, B.,
I-SEA: Improved shape exchange algorithm for quasi-periodic time series alignment,
ICCVIA15(1-6)
IEEE DOI 1603
biology computing BibRef

Dogan, G.[Gunay], Bernal, J.[Javier], Hagwood, C.R.[Charles R.],
A fast algorithm for elastic shape distances between closed planar curves,
CVPR15(4222-4230)
IEEE DOI 1510
BibRef

Lv, P.[Peng], Zhao, Q.J.[Qing-Jie], Gu, D.B.[Dong-Bing],
Segmenting similar shapes via weighted group-similarity active contours,
ICIP15(4032-4036)
IEEE DOI 1512
BibRef
Earlier:
Contour tracking via on-line discriminative active contours,
ICIP14(481-485)
IEEE DOI 1502
Active contours BibRef

Cheng, E.[Erkang], Pang, Y.[Yu], Zhu, Y.[Ying], Yu, J.Y.[Jing-Yi], Ling, H.B.[Hai-Bin],
Curvilinear Structure Tracking by Low Rank Tensor Approximation with Model Propagation,
CVPR14(3057-3064)
IEEE DOI 1409
BibRef

Kaliamoorthi, P.[Prabhu], Kakarala, R.[Ramakrishna],
A Robust Integrated Framework for Segmentation and Tracking,
PSIVT13(443-453).
Springer DOI 1402
BibRef

Ning, J.F.[Ji-Feng], Yu, W.[Wei], Yang, S.Q.[Shu-Qin],
An active contour tracking method by matching foreground and background simultaneously,
ICIP13(3944-3948)
IEEE DOI 1402
Active contour BibRef

Chen, X.[Xida], Yang, Y.H.[Yee-Hong],
Quasi-dense Correspondence in Stereo Images Using Multiple Coupled Snakes,
CRV13(202-209)
IEEE DOI 1308
Cameras
See also Recovering Dense Stereo Depth Maps Using a Single Gaussian Blurred Structured Light Pattern. BibRef

Nouri, M.[Marwen], Marilly, E.[Emmanuel], Vincent, N.[Nicole],
Moving object selection based on an active curve approach,
ICIP11(813-816).
IEEE DOI 1201
BibRef

Fang, H.[Hua], Kim, S.H.[Shin-Hyoung], Jang, J.W.[Jong-Whan],
A snake algorithm for automatically tracking multiple objects,
ICIP11(469-472).
IEEE DOI 1201
BibRef

Chakroun, M., Wali, A.[Ali], Alimi, A.M.[Adel M.],
Multi-agent system for moving object segmentation and tracking,
MMSysS11(424-429).
IEEE DOI 1111
BibRef

Ismail, Z.H., Dunnigan, M.W.,
An adaptive region boundary-based control scheme for an autonomous underwater vehicle,
ICARCV10(324-329).
IEEE DOI 1109
BibRef

Li, X., Hou, S.P., Cheah, C.C.,
Adaptive region tracking control for autonomous underwater vehicle,
ICARCV10(2129-2134).
IEEE DOI 1109
BibRef

Prabuwono, A.S., Burhanuddin, M.A., Said, S.M.,
Autonomous contour tracking using staircase method for industrial robot,
ICARCV08(2272-2276).
IEEE DOI 1109
BibRef

Ma, B.[Bo], Wu, Y.W.[Yu-Wei],
Covariance Matching for PDE-based Contour Tracking,
ICIG11(720-725).
IEEE DOI 1109
BibRef

Fragkiadaki, K.[Katerina], Shi, J.B.[Jian-Bo],
Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement,
CVPR11(2073-2080).
IEEE DOI 1106
BibRef

Firouzi, H.[Hadi], Najjaran, H.[Homayoun],
Adaptive Non-rigid Object Tracking by Fusing Visual and Motional Descriptors,
DICTA10(58-62).
IEEE DOI 1012
BibRef

Aeschliman, C.[Chad], Park, J.[Johnny], Kak, A.C.[Avinash C.],
A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer Vision,
ECCV10(II: 594-607).
Springer DOI 1009
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And:
A probabilistic framework for joint segmentation and tracking,
CVPR10(1371-1378).
IEEE DOI 1006
BibRef

Chockalingam, P.[Prakash], Pradeep, N.[Nalin], Birchfield, S.T.[Stanley T.],
Adaptive fragments-based tracking of non-rigid objects using level sets,
ICCV09(1530-1537).
IEEE DOI 0909
Divide target into multiple regions (fragments) Chan-Vese model for regions. BibRef

Leichter, I.[Ido], Lindenbaum, M.[Michael],
Boundary ownership by lifting to 2.1D,
ICCV09(9-16).
IEEE DOI 0909
BibRef

Boudoukh, G.[Guy], Leichter, I.[Ido], Rivlin, E.[Ehud],
Visual tracking of object silhouettes,
ICIP09(3625-3628).
IEEE DOI 0911

See also Tracking by Affine Kernel Transformations Using Color and Boundary Cues. BibRef

Li, W.[Wei], Zhang, X.Q.[Xiao-Qin], Hu, W.M.[Wei-Ming],
Contour tracking with abrupt motion,
ICIP09(3593-3596).
IEEE DOI 0911
BibRef

Liu, M.[Min], Roy-Chowdhury, A.K.[Amit K.], Gonehal, V.R.[Venugopala Reddy],
Exploiting local structure for tracking plant cells in noisy images,
ICIP09(1765-1768).
IEEE DOI 0911
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Lv, H.[Han], Lin, L.[Liang], Zeng, K.[Kun], Sang, N.[Nong],
Interactive rotoscoping: Extracting and tracking object sketch,
ICIP09(881-884).
IEEE DOI 0911
Sketches of objects in video, tracking. BibRef

McDonald, B., Green, R.,
A silhouette based technique for locating and rendering foot movements over a plane,
IVCNZ09(385-390).
IEEE DOI 0911
BibRef

Zhang, H.[Hui], Zhao, B.J.[Bao-Jun], Tang, L.B.[Lin-Bo], Li, J.K.[Jian-Ke],
Variational-Based Contour Tracking in Infrared Imagery,
CISP09(1-5).
IEEE DOI 0910
BibRef

Heibel, T.H.[Tim Hauke], Glocker, B.[Ben], Groher, M.[Martin], Paragios, N.[Nikos], Komodakis, N.[Nikos], Navab, N.[Nassir],
Discrete tracking of parametrized curves,
CVPR09(1754-1761).
IEEE DOI 0906

See also TriangleFlow: Optical Flow with Triangulation-Based Higher-Order Likelihoods. BibRef

Zhou, L.[Lin], Kambhamettu, C.[Chandra], Goldgof, D.B.,
Nonrigid Motion and Structure Analysis from 2D with Application Towards 3D Cloud Tracking,
AIPU02(57-88). 0905
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Lai, D.X.[Dong-Xian], Chang, Y.H.[Yuan-Hsiang], Zhong, Z.H.[Zhi-He],
Active Contour Tracking of Moving Objects Using Edge Flows and Ant Colony Optimization in Video Sequences,
PSIVT09(1104-1116).
Springer DOI 0901
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Seol, Y.H.[Yeong-Ho], Noh, J.Y.[Jun-Yong],
Deformation-Based Animation of Snake Locomotion,
ISVC08(I: 646-657).
Springer DOI 0812
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Gonçalves, W.N.[Wesley Nunes], de Andrade Silva, J.[Jonathan], Machado, B.B.[Bruno Brandoli], Pistori, H.[Hemerson], de Souza, A.S.[Albert Schiaveto],
Hidden Markov Models Applied to Snakes Behavior Identification,
PSIVT07(777-787).
Springer DOI 0712
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Daniels, J.[Joel], Cohen, E.[Elaine],
Surface Creation and Curve Deformations Between Two Complex Closed Spatial Spline Curves,
GMP06(221-234).
Springer DOI 0607
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Chen, X.M.[Xian-Ming], Cohen, E.[Elaine], Riesenfeld, R.F.[Richard F.],
Tracking Point-Curve Critical Distances,
GMP06(87-100).
Springer DOI 0607
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Chen, X.M.[Xian-Ming], Riesenfeld, R.F.[Richard F.], Cohen, E.[Elaine], Damon, J.N.[James N.],
Theoretically Based Robust Algorithms for Tracking Intersection Curves of Two Deforming Parametric Surfaces,
GMP06(101-114).
Springer DOI 0607
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Christensen, G.E.[Gary E.], Geng, X.J.[Xiu-Juan], Kuhl, J.G.[Jon G.], Bruss, J.[Joel], Grabowski, T.J.[Thomas J.], Pirwani, I.A.[Imran A.], Vannier, M.W.[Michael W.], Allen, J.S.[John S.], Damasio, H.[Hanna],
Introduction to the Non-rigid Image Registration Evaluation Project (NIREP),
WBIR06(128-135).
Springer DOI 0607
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Donoser, M.[Michael], Bischof, H.[Horst],
Using covariance matrices for unsupervised texture segmentation,
ICPR08(1-4).
IEEE DOI 0812
BibRef
Earlier:
ROI-SEG: Unsupervised Color Segmentation by Combining Differently Focused Sub Results,
CVPR07(1-8).
IEEE DOI 0706
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Donoser, M.[Michael], Schmalstieg, D.[Dieter],
Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation,
CVPR14(3158-3165)
IEEE DOI 1409
BSDS 500
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Donoser, M.[Michael], Riemenschneider, H.[Hayko],
Hierarchical Segment Support for Categorical Image Labeling,
GMSU13(5-8)
IEEE DOI 1403
image resolution BibRef

Donoser, M.[Michael], Urschler, M.[Martin], Riemenschneider, H.[Hayko], Bischof, H.[Horst],
Highly Consistent Sequential Segmentation,
SCIA11(48-58).
Springer DOI 1105
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Donoser, M.[Michael], Urschler, M.[Martin], Hirzer, M.[Martin], Bischof, H.[Horst],
Saliency driven total variation segmentation,
ICCV09(817-824).
IEEE DOI 0909
Unsupervised color segmentation. BibRef

Wohlhart, P.[Paul], Donoser, M.[Michael], Roth, P.M.[Peter M.], Bischof, H.[Horst],
Detecting Partially Occluded Objects with an Implicit Shape Model Random Field,
ACCV12(I:302-315).
Springer DOI 1304
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Kontschieder, P.[Peter], Riemenschneider, H.[Hayko], Donoser, M.[Michael], Bischof, H.[Horst],
Discriminative Learning of Contour Fragments for Object Detection,
BMVC11(xx-yy).
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Kontschieder, P.[Peter], Donoser, M.[Michael], Bischof, H.[Horst],
Beyond Pairwise Shape Similarity Analysis,
ACCV09(III: 655-666).
Springer DOI 0909
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Ahmadi, A.[Ali], Abedin, M.A.[M. Anwarul], Mattausch, H.J.[Hans Jürgen], and Koide, T.[Tetsushi],
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AVSBS05(609-613).
IEEE DOI 0602
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Panin, G.[Giorgio], Ladikos, A.[Alexander], Knoll, A.[Alois],
An Efficient and Robust Real-Time Contour Tracking System,
CVS06(44).
IEEE DOI 0602
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Fan, X.[Xin], Qi, C.[Chun], Liang, D.Q.[De-Qun], Huang, H.[Hua],
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ICCV05(I: 302-308).
IEEE DOI 0510
Contour of specific shape. BibRef

Park, J.[Jihun],
Object Tracking and Elimination Using Level-of-Detail Canny Edge Maps,
AMDO06(281-290).
Springer DOI 0607
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Earlier:
Contour Tracking Using Modified Canny Edge Maps with Level-of-Detail,
CAIP05(1).
Springer DOI 0509
BibRef

Han, Y.J.[Young-Joon], Hahn, H.S.[Hern-Soo],
A New Snake Model Robust on Overlap and Bias Problems in Tracking a Moving Target,
CAIP05(636).
Springer DOI 0509
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Branson, K.[Kristin], Belongie, S.J.[Serge J.],
Tracking Multiple Mouse Contours (without Too Many Samples),
CVPR05(I: 1039-1046).
IEEE DOI 0507
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Kandimalla, R.M., Newman, T.S.,
Snake-based technique for plasmapause tracking,
ICPR04(IV: 376-379).
IEEE DOI 0409
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Flach, B.[Boris], Sara, R.[Radim],
Joint Non-rigid Motion Estimation and Segmentation,
IWCIA04(631-638).
Springer DOI 0505
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Li, T.Q.[Tian-Qing], Zhang, Y.[Yi], Yao, D.Y.[Dan-Ya], Hu, D.C.[Dong-Cheng],
FFT snake: a robust and efficient method for the segmentation of arbitrarily shaped objects in image sequences,
ICPR04(II: 116-119).
IEEE DOI 0409
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Zhou, X.S.[Xiang Sean], Comaniciu, D.[Dorin], Krishnan, S.[Sriram],
Coupled-Contour Tracking through Non-orthogonal Projections and Fusion for Echocardiography,
ECCV04(Vol I: 336-349).
Springer DOI 0405
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Gok, M.Y., Cetin, A.E.,
Moving object detection in video by detecting non-Gaussian regions in subbands and active contours,
ICIP03(III: 965-968).
IEEE DOI 0312
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Gao, J.,
Object shape delineation during tracking process,
ICIP03(III: 969-972).
IEEE DOI 0312
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Chen, H.M.[Hua-Mei], Varshney, P.K., Slamani, M.,
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AVSBS03(313-318).
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Akgul, Y., Kambhamettu, C., and Stone, M.,
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Techmer, A.,
Contour-based Motion Estimation and Object Tracking for Real-time Applications,
ICIP01(III: 648-651).
IEEE DOI 0108
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Ishii, T., Kyuma, K.,
An Image Segmentation and Tracking Method by Segment Scanning Wave Propagation Network,
ICIP01(I: 774-777).
IEEE DOI 0108
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Zaletelj, J.[Janez], Tasic, J.F.[Jurij F.],
Rate-Distortion Snake: A Tool for Optimal Shape Coding,
ICIP05(I: 565-568).
IEEE DOI 0512
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Zaletelj, J.[Janez], Tasic, J.F.[Jurij F.],
Optimization and Tracking of Polygon Vertices for Shape Coding,
CAIP03(418-425).
Springer DOI 0311
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Earlier:
Video Object Segmentation Based on Edge Tracking,
ICIP01(II: 813-816).
IEEE DOI 0108
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Everingham, M., Thomas, B.,
Supervised Segmentation and Tracking of Nonrigid Objects Using a 'Mixture of Histograms' Model,
ICIP01(I: 62-65).
IEEE DOI 0108
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Marendic, B., Galatsanos, N., Bless, D.,
New Active Contour Algorithm for Tracking Vibrating Vocal Folds,
ICIP01(I: 397-400).
IEEE DOI 0108
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Chen, Y., Huang, T., Rui, Y.,
Optimal Radial Contour Tracking by Dynamic Programming,
ICIP01(I: 626-629).
IEEE DOI 0108
BibRef

Kühne, G., Weickert, J., Beier, M., Effelsberg, W.,
Fast Implicit Active Contour Models,
DAGM02(133 ff.).
Springer DOI 0303
BibRef

Kühne, G., Weickert, J., Schuster, O., Richter, S.,
A Tensor-driven Active Contour Model for Moving Object Segmentation,
ICIP01(II: 73-76).
IEEE DOI 0108

See also Curvature-Driven PDE Methods for Matrix-Valued Images. BibRef

Ponsa, D.[Daniel], Roca, F.X.[F. Xavier],
A Novel Approach to Generate Multiple Shape Models for Tracking Applications,
AMDO02(80 ff).
Springer DOI 0303
BibRef

Toledo, R.[Ricardo], Orriols, X.[Xavier], Binefa, X.[Xavier], Radeva, P.I.[Petia I.], Vitria, J.[Jordi], Villanueva, J.J.,
Tracking of Elongated Structures using Statistical Snakes,
CVPR00(I: 157-162).
IEEE DOI 0005
BibRef

Imiya, A., Yamagishi, N.,
Principal curve analysis for temporal data,
ICPR04(II: 475-478).
IEEE DOI 0409
BibRef

Parisi-Baradad, V., Yahia, H., Herlin, I.,
Modeling and Temporal Evolution of a Family of Curves,
SCIA99(Remote Sensing). BibRef 9900

Li, L.[Li], Qiu, L.[Lili], Zabih, R.[Ramin],
Contour Extraction of Moving Objects,
ICPR98(Vol II: 1427-1432).
IEEE DOI 9808
BibRef

Cohen, I.[Isaac], and Herlin, I.[Isabelle],
Tracking Meteorological Structures Through Curve Matching Using Geodesic Paths,
ICCV98(396-401).
IEEE DOI
PDF File.
HTML Version. BibRef 9800
Earlier:
Curves Matching Using Geodesic Paths,
CVPR98(741-746).
IEEE DOI
PDF File. BibRef
And: SCIA97(xx-yy)
HTML Version. 9705
BibRef

Fu, Y.[Yue], Erdem, A.T., Tekalp, A.M.,
Occlusion adaptive motion snake,
ICIP98(III: 633-637).
IEEE DOI 9810
BibRef

Cham, T.J., Cipolla, R.,
Stereo Coupled Active Contours,
CVPR97(1094-1099).
IEEE DOI 9704
Tracking in stereo. Active contours in the image pairs. Related to Segment -- active contour papers. BibRef

Gu, I.Y.H., Gui, V.,
Object Recognition and Motion Estimation via Joint Segmentation and B-Spline Contour Matching,
SSAB97(Computer Vision) 9703
BibRef

Floreby, L.,
A Multiscale Algorithm for Closed Contour Matching in Image Sequence,
ICPR96(I: 884-888).
IEEE DOI 9608
(Lund Univ., S) BibRef

Shini, C.W.[Cheon Woo], Kim, K.I.[Kwang Ik],
3D measurement strategy based on a projection invariance motion analysis with an artificial retina sensor,
ICPR96(I: 369-373).
IEEE DOI 9608
(Osaka Univ., J) BibRef

Worring, M.,
Analysis of Complex Motion Patterns Using Region Based Curve Analysis,
ICPR96(I: 388-392).
IEEE DOI 9608
(Faculteit der Wiskunde en Inf., NL) BibRef

Hata, K., Ohya, J., Kishino, F., Nakatsu, R.,
Automatic Extraction and Tracking of Contours,
ICPR96(I: 441-445).
IEEE DOI 9608
(ATR Media Integration and Comm. Res. Lab., J) BibRef

Yahia, H., Herlin, I., Vogel, L.,
Temporal Tracking of Oceanographic Images by Implicit Functions,
ICPR96(III: 969-973).
IEEE DOI 9608
(INRIA-Rocquencourt, F) BibRef

Barbaresco, F.[Frederic], Bonney, S., Lambert, J., Monnier, B.,
Motion-Based Segmentation and Tracking of Dynamic Radar Clutters,
ICIP96(III: 923-926).
IEEE DOI BibRef 9600

Nakazawa, Y., Komatsu, T., Saito, T.,
A robust object-specified active contour model for tracking smoothly deformable line-features and its application to outdoor moving image processing,
ICIP96(II: 689-692).
IEEE DOI 9610
BibRef

Bascle, B.[Benedicte], Deriche, R.[Rachid],
Region Tracking Through Image Sequences,
ICCV95(302-307).
IEEE DOI BibRef 9500
And: INRIA--RR-2439, December 1994. Track with deformable contours, using texture.
HTML Version. BibRef

Papadopoulo, T., Faugeras, O.D.,
Estimation of the Second Order Spatio-Temporal Derivatives of Deforming Image Curves,
ICPR94(A:179-184).
IEEE DOI BibRef 9400

Bernard, T.M.,
Object contour tracking as inspired by the 'MAD retina' paradigm,
ICIP94(I: 535-539).
IEEE DOI 9411
BibRef

Black, M.J.[Michael J.],
Combining intensity and motion for incremental segmentation and tracking over long image sequences,
ECCV92(485-493).
Springer DOI 9205
BibRef

Waks, A., Tretiak, O.J.,
Robust detection of region boundaries in a sequence of images,
ICPR90(I: 947-952).
IEEE DOI 9006
BibRef

Bouthemy, P.,
A Method of Integrating Motion Information along Contours Including Segmentation,
ICPR86(651-653). BibRef 8600

Chapter on 2-D Region Segmentation Techniques, Snakes, Active Contours continues in
Tracking Applied to Heart Images .