16.6 Tracking of Moving Objects and Matching in Sequences

CVonline: Motion, Tracking and Time Sequence Analysis,
CV-OnlineJuly 2001.
HTML Version. Survey, Motion. Survey, Tracking. BibRef 0107

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 DOI Link 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.
Springer DOI Link 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.
Springer DOI Link 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.
IEEE DOI Link BibRef 9307

Stuller, J.A., and Netravali, A.N.,
Transform Domain Motion Estimation,
Bell System Tech.(58), September, 1979, pp. 1673-1702. BibRef 7909

Netravali, A.N.[Arun N.], Stuller, J.A.[John A.],
Motion estimation and encoding of video signals in the transform domain,
US_Patent4,245,248, Jan 13, 1981
WWW Version. BibRef 8101

Nosler, J.C.[John C.],
Electro-optical position-monitoring apparatus with tracking detector,
US_Patent4,269,512, May 26, 1981
WWW Version. BibRef 8105

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).
PDF Version. 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.[Nigel G.], Hancock, E.R.[Edwin R.],
Feature Tracking by Multiframe Relaxation,
IVC(13), No. 8, October 1995, pp. 637-644.
WWW Version. BibRef 9510
Earlier: BMVC94(xx-yy).
PDF Version. 9409
BibRef

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

Choate, W.C.[William Clay], Talluri, R.K.[Rajendra K.],
Method of inferring sensor attitude through multi-feature tracking,
US_Patent5,647,015, Jul 8, 1997
WWW Version. BibRef 9707
And: US_Patent5,870,486, Feb 9, 1999
WWW Version. BibRef
And: A2, A1:
Target Tracking and Range Estimation Using an Image Sequence,
WACV92(84-91).
IEEE Abstract. 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 DOI Link 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

Hu, X.P.[Xiao-Ping], Takamura, J.[Jun], Hall, M.[Mark],
Video object tracking method for interactive multimedia applications,
US_Patent5,867,584, Feb 2, 1999
WWW Version. BibRef 9902

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. 0301
BibRef
Earlier: A1, A3, A2:
Non-Rigid Object Tracking using Performance Evaluation Measures as Feedback,
CVPR01(II:323-330).
IEEE Abstract. 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. 0711
Object 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.
IEEE DOI Link 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. 0108
BibRef

Lin, C.F.[Ching-Fang],
Three-dimensional relative positioning and tracking using LDRI,
US_Patent6,677,941, Jan 13, 2004
WWW Version. BibRef 0401

Williams, O., Blake, A., Cipolla, R.,
Sparse Bayesian Learning for Efficient Visual Tracking,
PAMI(27), No. 8, August 2005, pp. 1292-1304.
IEEE Abstract. 0506
BibRef
Earlier:
A sparse probabilistic learning algorithm for real-time tracking,
ICCV03(353-360).
IEEE DOI Link 0311
BibRef

Jia, Z.[Zhen], Balasuriya, A.[Arjuna], Challa, S.[Subhash],
Vision Based Target Tracking for Autonomous Land Vehicle Navigation: A Brief Survey,
RPCS(2), No. 1, January 2009, pp. 32-42.
WWW Version. 1001
Survey, Tracking. BibRef

Maggio, E.[Emilio], Cavallaro, A.[Andrea],
Video Tracking: Theory and Practice,
WileyApril 2011 ISBN: 978-0-470-74964-7
HTML Version. To purchase this book look here 1010
BibRef

Mei, X.[Xue], Ling, H.B.[Hai-Bin],
Robust Visual Tracking and Vehicle Classification via Sparse Representation,
PAMI(33), No. 11, November 2011, pp. 2259-2272.
IEEE DOI Link 1110
BibRef
Earlier:
Robust Visual Tracking Using L1 Minimization,
ICCV09(1436-1443).
IEEE DOI Link
PDF Version. 0909
See also Illumination Recovery From Image With Cast Shadows Via Sparse Representation. BibRef

Qi, F.[Fei], Song, X.W.[Xiao-Wei], Shi, G.M.[Guang-Ming],
LDA based color information fusion for visual objects tracking,
ICIP09(2201-2204).
IEEE DOI Link 0911
BibRef

Shi, B.[Bo], Cao, Z.L.[Zuo-Liang], Juha, R.N.[Ro-Ning],
Target Recognition and Tracking in Outdoor Environment,
CISP09(1-5).
IEEE DOI Link 0910
BibRef

Gu, Y.[Yang],
Effective Motion Tracking Using Known and Learned Actuation Models,
CMU-CS-08-137, June 2008 BibRef 0806 Ph.D.Thesis, June 2008
HTML Version. BibRef

Heinrichs, M.[Matthias], Hellwich, O.[Olaf], Rodehorst, V.[Volker],
Robust Spatio-Temporal Feature Tracking,
ISPRS08(B3a: 51 ff).
PDF Version. 0807
BibRef

Tekinalp, S., Alatan, A.A.,
Efficient Bayesian Track-Before-Detect,
ICIP06(2793-2796).
IEEE DOI Link 0610
BibRef

Ross, M.,
Model-Free, Statistical Detection and Tracking of Moving Objects,
ICIP06(557-560).
IEEE DOI Link 0610
BibRef

Rosten, E.[Edward], Drummond, T.W.[Tom W.],
Fusing Points and Lines for High Performance Tracking,
ICCV05(II: 1508-1515).
IEEE DOI Link 0510
Deal 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).
IEEE DOI Link 0502
BibRef

Wildes, R.P.,
A measure of motion salience for surveillance applications,
ICIP98(III: 183-187).
IEEE DOI Link 9810
BibRef

Leng, J., Wang, H.,
Tracking as recognition: a stable 3D tracking framework,
ICARCV04(III: 2303-2307).
IEEE DOI Link 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. 0108
BibRef

Chetverikov, D., Nagy, M., Verestóy, J.,
Comparison of Tracking Techniques Applied to Digital PIV,
ICPR00(Vol IV: 619-622).
IEEE DOI Link 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. 0008
BibRef

Rares, A., Reinders, M.,
Object Tracking by Adaptive Modeling,
ICIP00(Vol III: 74-77).
IEEE Abstract. 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. 0008
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).
IEEE DOI Link 0009
BibRef

Kamijo, S.[Shunsuke], Ikeuchi, K.[Katsushi], Sakauchi, M.[Masao],
Segmentations of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model,
EMMCVPR01(298-313).
Springer DOI Link 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).
IEEE DOI Link 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).
IEEE DOI Link 0009
BibRef

Verestoy, J.[Judit], Chetverikov, D.[Dmitry],
Tracking Feature Points: A New Algorithm and Comparative Performance Evaluation,
ICPR98(Vol II: 1436-1438).
IEEE DOI Link 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).
IEEE DOI Link BibRef 9600

Tan, Y.P.[Yap-Peng], Kulkarni, S.R., Ramadge, P.J.,
Extracting Good Features for Motion Estimation,
ICIP96(I: 117-120).
IEEE DOI Link 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).
IEEE DOI Link 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).
IEEE DOI Link BibRef 9200

Kilger, M.,
A Shadow Handler in a Video-Based Real-Time Traffic Monitoring System,
WACV92(11-18).
IEEE Abstract. BibRef 9200

Baker, K.D., Sullivan, G.D.,
Performance Assessment of Model-Based Tracking,
WACV92(28-35).
IEEE Abstract. BibRef 9200

Stephens, R.S.,
Real-time 3D object tracking,
Alvey89(85-90). BibRef 8900

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Long Sequence Matching and Motion .