CVonline: Motion, Tracking and Time Sequence Analysis,
CV-OnlineJuly 2001.
HTML Version.
Survey, Motion.
Survey, Tracking.
BibRef
0107
Spikenet Technology,
2001.
WWW Version.
Vendor, Vehicle Tracking. Vehicle tracking.
From CNRS laboratory in Toulouse.
Martin, W.N., and
Aggarwal, J.K.,
Computer Analysis of Dynamic Scenes Containing Curvilinear Figures,
PR(11), No. 3, 1979, pp. 169-178.
WWW Version. Represent the curves in polar form - arc length vs. angle. From
these there are pieces of curves, match the curves. Assume that
the scenes are motion sequences so that the changes are position
and occlusions / separations.
See also Volumetric Descriptions of Objects from Multiple Views.
BibRef
7900
Martin, W.N., and
Aggarwal, J.K.,
Occluding Contours in Dynamic Scenes,
PRIP81(189-192).
BibRef
8100
Aggarwal, J.K., and
Martin, W.N.,
Analyzing Dynamic Scenes Containing Moving Objects,
ISA81(Ch 6).
BibRef
8100
Aggarwal, J.K., and
Duda, R.O.,
Computer Analysis of Moving Polygonal Images,
TC(24), No. 10, October 1975, pp. 966-976.
BibRef
7510
CMetImAly77(271-282).
Motion, Tracking. Motivated by cloud motions assumes: properly registered, clouds
not rapidly changing, and 1 layer at a time. Information in joint
motion - to avoid problems and obtain generality: idealized model
no distinguishing features of the planes (image is union of
several planes.). Given a sequence find linear and angular
velocities and decompose scene into component figures.
Noise free; pair vertices in 2 images - using true and false
vertices; use info from previous image; acute vertex => "true"
vertex, i.e., on an object; obtuse => any kind; cluster on
velocity of true vertices; heuristic: no guarantee that
matches are globally optimal; no processes for backtracking.
BibRef
Chow, W.K., and
Aggarwal, J.K.,
Computer Analysis of Planar Curvilinear Moving Images,
TC(26), No. 2, February 1977, pp. 179-185.
Eliminates assumptions in Aggarwal & Duda (
See also Computer Analysis of Moving Polygonal Images. ),
i.e., - curved objects,
multiple topological changes, but no holes; all objects known
before motion analysis; no occlusion for first 2 views; white
on black background objects; noise, stable velocity, i.e., low
acceleration; heterogeneous collection of objects; edges;
descriptors - invariant to rotation and translation area,
modified principal axes (major/minor axes); matches new
image with current model to get update model, if fails then
match with prediction; extension match boundaries rather than
descriptors.
BibRef
7702
Roach, J.W., and
Aggarwal, J.K.,
Computer Tracking of Objects Moving in Space,
PAMI(1), No. 2, April 1979, pp. 127-135.
BibRef
7904
Earlier:
Computer Tracking of Three Dimensional Objects,
PRAI-78(7-9).
Detect movement of 3-D convex blocks in 2-D
images. Use evidence from T-junctions for occlusions.
BibRef
Aggarwal, J.K.,
Davis, L.S., and
Martin, W.N.,
Correspondence Processes in Dynamic Scene Analysis,
PIEEE(69), No. 5, May 1981, pp. 562-572.
BibRef
8105
Thompson, W.B.,
Lechleider, P., and
Stuck, E.R.,
Detecting Moving Objects Using the Rigidity Constraint,
PAMI(15), No. 2, February 1993, pp. 162-166.
IEEE Abstract. IEEE Top Reference.
WWW Version. Not really tracking, more motion detection.
Compute the motion of the camera compared to the background. Moving
objects are the points that do not correspond.
BibRef
9302
Nichol, D., and
Fiebig, M.,
Image Segmentation and Matching Using the Binary Object Forest,
IVC(9), No. 3, June 1991, pp. 139-149.
WWW Version.
BibRef
9106
Nichol, D., and
Fiebig, M.,
Tracking Multiple Moving Objects by Binary Object Forest Segmentation,
IVC(9), No. 6, December 1991, pp. 362-371.
WWW Version.
BibRef
9112
Lowe, D.G.[David G.],
Robust Model-Based Motion Tracking Through the
Integration of Search and Estimation,
IJCV(8), No. 2, August 1992, pp. 113-122.
WWW Version.
BibRef
9208
And:
UBCTR-92-11, May 1992.
Handle both measurement and motion errors that occur in following
the sequence.
BibRef
Cox, I.J.,
A Review of Statistical Data Association Techniques
for Motion Correspondence,
IJCV(10), No. 1, February 1993, pp. 53-66.
WWW Version.
Survey, Tracking. Techniques that came from target tracking work.
BibRef
9302
Stuller, J.A.[John A.], and
Krishnamurthy, G.[Gaplan],
Kalman Filter Formulation of Low-Level
Television Image Motion Estimation,
CVGIP(21), No. 2, February 1983, pp. 169-204.
WWW Version.
Kalman Filter.
BibRef
8302
Burl, J.B.,
A Reduced Order Extended Kalman Filter for Sequential Images
Containing a Moving Object,
IP(2), No. 3, July 1993, pp. 285-295.
WWW Version.
BibRef
9307
Stuller, J.A., and
Netravali, A.N.,
Transform Domain Motion Estimation,
Bell System Tech.(58), September, 1979, pp. 1673-1702.
BibRef
7909
Cowart, A.E.[Alan E.],
Snyder, W.E.[Wesley E.], and
Ruedger, W.H.[W. Howard],
The Detection of Unresolved Targets Using the Hough Transform,
CVGIP(21), No. 2, February 1983, pp. 222-238.
WWW Version.
Hough, Motion.
BibRef
8302
Mirmehdi, M.,
Ellis, T.J.,
Parallel Approach to Tracking Edge Segments in Dynamic Scenes,
IVC(11), No. 1, January-February 1993, pp. 35-48.
WWW Version. Parallel processors (transputers) applied to tracking problem.
BibRef
9301
Ellis, T.J.,
Mirmehdi, M., and
Dowling, G.R.,
Tracking Image Features Using a Parallel Computational Model,
SPIE(1708), Applications of Artificial Intelligence X:
Machine vision and Robots, 1992, pp. 172-183.
Implementation using transputers.
BibRef
9200
Deffontaines, T.[Thierry],
Method for identifying objects in motion, in particular vehicles,
and systems for its implementation,
US_Patent5,083,200, 01/21/1992.
HTML Version.
BibRef
9201
Zhang, Z.Y.,
Token Tracking in a Cluttered Scene,
IVC(12), No. 2, March 1994, pp. 110-120.
WWW Version.
BibRef
9403
And:
INRIARR-2072, October 1993.
BibRef
Earlier:
Strategies for Tracking Tokens in a Cluttered Scene,
BMVC93(I. 205-216).
Uses a beam search.
BibRef
Snijder, H.P.,
Vanleeuwen, C.,
A Minimal Architecture for Detecting Object Location and Motion,
PR(27), No. 11, November 1994, pp. 1463-1473.
WWW Version.
BibRef
9411
Sharp, N.G.,
Hancock, E.R.,
Feature Tracking by Multiframe Relaxation,
IVC(13), No. 8, October 1995, pp. 637-644.
WWW Version.
BibRef
9510
Bruckstein, A.M.,
Holt, R.J.,
Netravali, A.N.,
How to Catch a Crook,
JVCIR(5), 1994, pp. 273-281.
BibRef
9400
Bruckstein, A.M.,
Holt, R.J.,
Netravali, A.N.,
How to Track a Flying Saucer,
JVCIR(7), No. 2, June 1996, pp. 196-204.
9607
BibRef
Habib, A.,
Motion Parameter Estimation by Tracking Stationary 3-Dimensional
Straight Lines in Image Sequences,
PandRS(53), No. 3, June 1998, pp. 174-182.
9807
BibRef
Zatelli, P.,
Measurement and Tracking of Circle Centers for Geotechnic Applications,
PandRS(53), No. 3, June 1998, pp. 183-191.
9807
BibRef
Heimes, F.,
Nagel, H.H.,
Real Time Tracking of Intersections in Image Sequences
of a Moving Camera,
EngAAI(11), No. 2, April 1998, pp. 215-227.
9807
BibRef
Jung, S.K.,
Wohn, K.Y.,
A Model Based 3-D Tracking of Rigid Objects from a
Sequence of Multiple Perspective Views,
PRL(19), No. 5-6, April 1998, pp. 499-512.
9808
BibRef
Sanders-Reed, J.N.[John N.],
Maximum Likelihood Detection of Unresolved Moving Targets,
AeroSys(34), No.3, July, 1998, pp. xx-yy.
WWW Version. Faint target detection and tracking.
BibRef
9807
Toyama, K.[Kentaro],
Hager, G.D.[Gregory D.],
Incremental Focus of Attention for Robust Vision-Based Tracking,
IJCV(35), No. 1, November 1999, pp. 45-63.
WWW Version.
BibRef
9911
Earlier:
Incremental Focus of Attention for Robust Visual Tracking,
CVPR96(189-195).
IEEE Abstract. IEEE Top Reference.
WWW Version.
Tracking.
HTML Version. And
Postscript Version.
BibRef
Earlier:
Tracker Fusion for Robustness in Visual Feature Tracking,
SPIE(2569), pp. 38-49. Photonics East, October 1995.
Postscript Version.
Code, Tracking. Code:
WWW Version.
BibRef
Toyama, K.[Kentaro],
Handling Tradeoffs Between Precision and Robustness with
Incremental Focus of Attention for Visual Tracking,
AAAI-Fall96(142-147). Symposium on Flexible Computation.
HTML Version. And
Postscript Version.
BibRef
9600
Erdem, Ç.E.,
Tekalp, A.M.,
Sankur, B.,
Video object tracking with feedback of performance measures,
CirSysVideo(13), No. 4, April 2003, pp. 310-324.
IEEE Abstract. IEEE Top Reference.
0301
BibRef
Earlier: A1, A3, A2:
Non-Rigid Object Tracking using Performance Evaluation Measures as
Feedback,
CVPR01(II:323-330).
IEEE Abstract. IEEE Top Reference.
0110
BibRef
Erdem, C.E.[Cigdem Eroglu],
Video object segmentation and tracking using region-based statistics,
SP:IC(22), No. 10, November 2007, pp. 891-905.
WWW Version.
0711Object tracking; Active contours; Histogram matching;
Curve evolution; Defocus; Selective focus
BibRef
Erdem, C.E.[C. Eroglu],
Sankur, B.,
Tekalp, A.M.,
Performance Measures for Video Object Segmentation and Tracking,
IP(13), No. 7, July 2004, pp. 937-951.
WWW Version.
0406
BibRef
Earlier: A1, A3, A2:
Metrics for Performance Evaluation of Video Object Segmentation and
Tracking Without Ground-truth,
ICIP01(II: 69-72).
IEEE Abstract. IEEE Top Reference.
0108
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.
0008Instituto Superior Técnico
0110Based on strokes detected in the image.
BibRef
Williams, O.,
Blake, A.,
Cipolla, R.,
Sparse Bayesian Learning for Efficient Visual Tracking,
PAMI(27), No. 8, August 2005, pp. 1292-1304.
IEEE Abstract. IEEE Top Reference.
0506
BibRef
Earlier:
A sparse probabilistic learning algorithm for real-time tracking,
ICCV03(353-360).
WWW Version.
0311
BibRef
Ross, M.,
Model-Free, Statistical Detection and Tracking of Moving Objects,
ICIP06(557-560).
0610
WWW Version.
BibRef
Rosten, E.[Edward],
Drummond, T.W.[Tom W.],
Fusing Points and Lines for High Performance Tracking,
ICCV05(II: 1508-1515).
WWW Version.
0510Deal with large changes.
BibRef
Enzweiler, M.[Markus],
Wildes, R.P.[Richard P.],
Herpers, R.[Rainer],
Unified Target Detection and Tracking Using Motion Coherence,
Motion05(II: 66-71).
WWW Version.
0502
BibRef
Wildes, R.P.,
A measure of motion salience for surveillance applications,
ICIP98(III: 183-187).
WWW Version.
9810
BibRef
Leng, J.,
Wang, H.,
Tracking as recognition: a stable 3D tracking framework,
ICARCV04(III: 2303-2307).
WWW Version.
0412
BibRef
Garcia, R.,
Cufi, X.,
Batlle, J.,
Detection of Matchings in a Sequence of Underwater Images Through
Texture Analysis,
ICIP01(I: 361-364).
IEEE Abstract. IEEE Top Reference.
0108
BibRef
Chetverikov, D.,
Nagy, M.,
Verestóy, J.,
Comparison of Tracking Techniques Applied to Digital PIV,
ICPR00(Vol IV: 619-622).
WWW Version.
HTML Version.
0009
BibRef
Ko, J.T.,
Wang, S.J.,
A Coarse-to-fine Approach for the Generation and Tracking of Mesh
Objects from a Natural Image Sequence,
ICIP00(Vol II: 883-886).
IEEE Abstract. IEEE Top Reference.
0008
BibRef
Rares, A.,
Reinders, M.,
Object Tracking by Adaptive Modeling,
ICIP00(Vol III: 74-77).
IEEE Abstract. IEEE Top Reference.
0008
BibRef
Shekarforoush, H.,
Chellappa, R.,
A Multi-fractal Formalism for Stabilization, Object Detection and
Tracking in FLIR Sequences,
ICIP00(Vol III: 78-81).
IEEE Abstract. IEEE Top Reference.
0008
BibRef
Jehan-Besson, S.[Stephanie],
Barlaud, M.[Michel],
Aubert, G.[Gilles],
Detection and Tracking of Moving Objects Using a New Level Set Based
Method,
ICPR00(Vol III: 1100-1105).
WWW Version.
HTML Version.
0009
BibRef
de la Torre, F.[Fernando],
Vitria, J.[Jordi],
Radeva, P.I.[Petia I.],
Melenchon, J.[Javier],
Eigenfiltering for Flexible EigenTracking (EFE),
ICPR00(Vol III: 1106-1109).
WWW Version.
HTML Version.
0009
BibRef
Kamijo, S.[Shunsuke],
Ikeuchi, K.[Katsushi],
Sakauchi, M.[Masao],
Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov
Random Field Model,
EMMCVPR02(298 ff.).
HTML Version.
0205
BibRef
Kamijo, S.,
Ikeuchi, K.,
Sakauchi, M.,
Illumination invariant segmentation of spatio-temporal images by
spatio-temporal markov random field model,
ICPR02(II: 617-622).
WWW Version.
0211
BibRef
Kamijo, S.,
Matsushita, Y.[Yasuyuki],
Ikeuchi, K.,
Sakauchi, M.[Masao],
Occlusion Robust Tracking Utilizing Spatio-Temporal Markov Random Field
Model,
ICPR00(Vol I: 140-144).
WWW Version.
HTML Version.
0009
BibRef
Verestoy, J.[Judit],
Chetverikov, D.[Dmitry],
Tracking Feature Points:
A New Algorithm and Comparative Performance Evaluation,
ICPR98(Vol II: 1436-1438).
WWW Version.
9808
BibRef
Steger, C.T.[Carsten T.],
On the Calculation of Arbitrary Moments of Polygons,
TRFGBV-96-05,
Forschungsgruppe Bildverstehen (FG BV), Informatik IX,
Technische Universität München, October 1996.
HTML Version.
BibRef
9610
Steger, C.T.[Carsten T.],
On the Calculation of Moments of Polygons,
TRFGBV-96-04,
Forschungsgruppe Bildverstehen (FG BV), Informatik IX,
Technische Universität München, August 1996.
HTML Version.
BibRef
9608
Brady, N.[Noel],
O'Connor, N.E.[Noel Edward],
Object Detection and Tracking Using an EM-Based Motion Estimation
and Segmentation Framework,
ICIP96(I: 925-928).
WWW Version.
BibRef
9600
Tan, Y.P.[Yap-Peng],
Kulkarni, S.R.,
Ramadge, P.J.,
Extracting Good Features for Motion Estimation,
ICIP96(I: 117-120).
WWW Version.
BibRef
9600
Tan, Y.P.[Yap-Peng],
Kulkarni, S.R.,
Ramadge, P.J.,
A new method for camera motion parameter estimation,
ICIP95(I: 406-409).
WWW Version.
9510
BibRef
Kahl, F.[Fredrik],
Real-Time Corner Tracking in Image Sequences,
SSAB96(xx).
BibRef
9600
Gardner, W.F., and
Lawton, D.T.,
Shape and Motion from Linear Features,
DARPA93(1091-1095).
Generate the structure from sequence of linear features.
BibRef
9300
de Paoli, S.,
Skordas, T.,
Chehikian, A.,
Detection of Moving Objects in a Sequence of Images Using a
Coarse-to-Fine Strategy,
ICPR92(I:228-231).
WWW Version.
BibRef
9200
Kilger, M.,
A Shadow Handler in a Video-Based Real-Time Traffic Monitoring System,
WACV92(11-18).
IEEE Abstract. IEEE Top Reference.
BibRef
9200
Baker, K.D.,
Sullivan, G.D.,
Performance Assessment of Model-Based Tracking,
WACV92(28-35).
IEEE Abstract. IEEE Top Reference.
BibRef
9200
Zielke, T.,
Brauckmann, M.,
von Seelen, W.,
Cartrack: Computer Vision-Based Car Following,
WACV92(156-163).
IEEE Abstract. IEEE Top Reference.
BibRef
9200
Talluri, R.,
Choate, W.C.,
Target Tracking and Range Estimation Using an Image Sequence,
WACV92(84-91).
IEEE Abstract. IEEE Top Reference.
BibRef
9200
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Long Sequence Matching and Motion .