16.6.1 Long Sequence Matching and Motion

Cano, D., Benard, M.,
Kalman Filtering of Image Sequences,
ISPDSA83(563-579). BibRef 8300

Chang, E.S.H., Kurz, L.,
Trajectory Detection and Experimental Designs,
CVGIP(27), 1984, pp. 346-368. BibRef 8400

Chang, E.S.H., Kurz, L.,
Object Detection and Experimental Designs,
CVGIP(40), No. 2, November 1987, pp. 147-168. BibRef 8711

Iu, S.L., Wohn, K.,
Recovery of 3D Motion of a Single Particle,
PR(24), No. 3, 1991, pp. 241-252.
WWW Version. BibRef 9100
Earlier:
Estimation of General Rigid Body Motion from a Long Sequence of Images,
ICPR90(I: 217-219).
WWW Version. Claims that constant motion (parameters?) is not needed? BibRef

Iu, S.L.[Siu-Leong], and Wohn, K.,
FLAT MMF: A New Recursive Technique for the 3-D Motion Analysis,
DARPA90(405-417). Tracking points with a model based on some of the past points, not all. BibRef 9000

Rangarajan, K., and Shah, M.,
Establishing Motion Correspondence,
CVGIP(54), No. 1, July 1991, pp. 56-73.
WWW Version. BibRef 9107
And: CVPR91(103-108).
IEEE Abstract. IEEE Top Reference. Propose a proximal uniformity constraint (smooth paths, short distances) for the matching problem (of points -- no features). Gradient-based optical flow is used for the first two frames. BibRef

Rangarajan, K., and Shah, M.,
Interpretation of Motion Trajectories Using Focus of Expansion,
PAMI(14), No. 12, December 1992, pp. 1205-1210.
IEEE Abstract. IEEE Top Reference.
WWW Version. Analysis of the locus of the FOE leads to determination of the trajectory. BibRef 9212

Rangarajan, K., Allen, W., Shah, M.,
Matching Motion Trajectories Using Scale-Space,
PR(26), No. 4, April 1993, pp. 595-610.
WWW Version. BibRef 9304
Earlier:
Recognition Using Motion and Shape,
ICPR92(I:255-258).
WWW Version. BibRef

Shah, M., Rangarajan, K., and Tsai, P.S.,
Motion Trajectories,
SMC(23), 1993, pp. 1138-1150. BibRef 9300
Earlier: CVPR92(839-841).
IEEE Abstract. IEEE Top Reference. BibRef
And:
Generation and Segmentation of Motion Trajectories,
ICPR92(I:74-77).
WWW Version. BibRef

Blostein, S.D., and Huang, T.S.,
Detecting Small, Moving Objects in Image Sequences Using Sequential Hypothesis Testing,
TSP(39), No. 7, 1991, pp. 1611-1629. BibRef 9100

Kalivas, D.S., and Sawchuk, A.A.,
A Region Matching Motion Estimation Algorithm,
CVGIP(54), No. 2, September 1991, pp. 275-288.
WWW Version. Basic 2-D motion estimation with region tracking. BibRef 9109

Bober, M., Kittler, J.V.,
Estimation of Complex Multimodal Motion: An Approach Based on Robust Statistics and Hough Transform,
IVC(12), No. 10, December 1994, pp. 661-668.
WWW Version. BibRef 9412
Earlier: BMVC93(239-248). Hough, Motion. Affine Model. BibRef

Bober, M., Kittler, J.V.,
Robust Motion Analysis,
CVPR94(947-952).
IEEE Abstract. IEEE Top Reference. Hough based technique. Comparison of results of different techniques for optical flow. BibRef 9400

Bober, M., Kittler, J.V.,
On Combining the Hough Transform and Multiresolution MRFs for Robust Analysis of Complex Motion,
ACCV95(301-305). BibRef 9500

Bober, M., Kittler, J.V.,
Vision of Movement,
IP(3), No. 1, 1994, pp. 16-18.
IEEE Top Reference. Incorrect reference. IP(6) is 1997. BibRef 9400

Thirumalai, S., Ahuja, N.,
Parallel Distributed Detection of Feature Trajectories in Multiple Discontinuous Motion Image Sequences,
TNN(7), No. 3, May 1996, pp. 594-603. 9606 BibRef
Earlier:
Detection and Segmentation of Feature Trajectories in Multiple, Discontinuous Motion Image Sequences,
DARPA93(621-628). Generate groups of similar motions (not 3-D motions). BibRef

Szeliski, R., and Kang, S.B.,
Recovering 3D Shape and Motion from Image Streams Using Non-Linear Least Squares,
JVCIR(5), No. 1, March 1994, pp. 10-28. BibRef 9403
Earlier: CVPR93(752-753).
IEEE Abstract. IEEE Top Reference. BibRef
And: DEC-CRL-93-3, March 1993. A very long sequence (96 frames). BibRef

Fletcher, M.J., Warwick, K., and Mitchell, R.J.,
The Application of a Hybrid Tracking Algorithm to Motion Analysis,
CVPR91(84-89).
IEEE Abstract. IEEE Top Reference. Point tracking for simple motions. BibRef 9100

Fletcher, M.J., and Mitchell, R.J.,
Predicting Multiple Feature Locations for a Class of Dynamic Image Sequences,
IVC(8), No. 3, August 1990, pp. 193-198.
WWW Version. BibRef 9008

Costabile, M.F., Guerra, C., and Pieroni, G.G.,
Matching Shapes: A Case Study in Time-Varying Images,
CVGIP(29), No. 3, March 1985, pp. 296-310. Find the convex pieces of the shape, and apply a tree search on the possible matches of each individual piece (single to multiple match is allowed). BibRef 8503

Pieroni, G.G., Costabile, M.F.,
Finding Correspondences in Time-Varying Shape Boundaries,
ICPR84(1171-1174). BibRef 8400

Pieroni, G.G.,
A Method for Analyzing Dynamic Processes Represented by Sequences of Maps,
CGIP(10), August 1979, pp. 375-387. BibRef 7908

Pieroni, G.G., Freeman, H.,
On the Analysis of Dynamic Map Data,
ICPR78(731-734). BibRef 7800

Crowley, J.L., Stelmaszyk, P., Skordas, T., and Puget, P.,
Measurement and Integration of 3-D Structures by Tracking Edge Lines,
IJCV(8), No. 1, July 1992, pp. 29-52. BibRef 9207
Earlier: ECCV90(269-280).
WWW Version. BibRef
And: add Discours, C., :
Measuring Image Flow by Tracking Edge-Lines,
ICCV88(658-664).
IEEE Abstract. IEEE Top Reference. Kalman Filter. This is really tracking edges-based lines through a sequence, using a Kalman filter approach. BibRef

Tan, T.N., Baker, K.D., Sullivan, G.D.,
3D Structure and Motion Estimation from 2D Image Sequences,
IVC(11), No. 4, May 1993, pp. 203-210.
WWW Version. BibRef 9305

Zakhor, A., Lari, F.,
Edge-Based 3-D Camera Motion Estimation with Application to Video Coding,
IP(2), No. 4, October 1993, pp. 481-498.
WWW Version. BibRef 9310

Lee, C.H., and Joshi, A.,
Correspondence Problem in Image Sequence Analysis,
PR(26), No. 1, January 1993, pp. 47-61.
WWW Version. Match using geometric constraints BibRef 9301

Rudd, J.G., Marsh, R.A., and Roecker, J.A.,
Surveillance and tracking of ballistic missile launches,
IBMRD(38), No. 2, February 1994, pp. 195-216. BibRef 9402

Vieville, T., Faugeras, O.D., Luong, Q.T.,
Motion Of Points And Lines In The Uncalibrated Case,
IJCV(17), No. 1, January 1996, pp. 7-41. BibRef 9601

Vieville, T., Luong, Q.T.,
Computing Motion and Structure in Image Sequences without Calibration,
ICPR94(A:420-425).
WWW Version. BibRef 9400

Vieville, T.[Thierry], Zeller, C.[Cyril], and Robert, L.[Luc],
Using Collineations to Compute Motion and Structure in an Uncalibrated Image Sequence,
IJCV(20), No. 3, 1996, pp. 213-242. BibRef 9600
Earlier:
Recovering Motion and Structure from a Set of Planar Patches in an Uncalibrated Image Sequence,
ICPR94(A:637-640).
WWW Version. BibRef

Huang, C.L.[Chung-Lin], Wu, C.H.[Chi-Hou],
Dynamic Scene Analysis Using Path and Shape Coherence,
PR(25), No. 5, May 1992, pp. 445-461.
WWW Version. BibRef 9205

Griffin, P.M., Messimer, S.L.,
Feature Point Tracking in Time-Varying Images,
PRL(11), 1990, pp. 843-848. BibRef 9000

Rosenberg, Y.[Yoav], Werman, M.[Michael],
Representing Local Motion as a Probability Distribution Matrix and Object Tracking,
DARPA97(153-158). BibRef 9700

Jung, S.K., Wohn, K.Y.,
3-D Tracking and Motion Estimation Using Hierarchical Kalman Filter,
VISP(144), No. 5, October 1997, pp. 293-298. 9806 BibRef

Åström, K.[Kalle], Kahl, F.[Fredrik],
Motion Estimation in Image Sequences Using the Deformation of Apparent Contours,
PAMI(21), No. 2, February 1999, pp. 114-127.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9902
Earlier: A2, A1: ICCV98(939-942).
WWW Version. BibRef
And: SSAB97(Computer Vision). 9703Camera motion using unknown surfaces. Uses epipolar constraints. BibRef

Wagner, R.[Robert], Liu, F.Y.[Fei-Yu], Donner, K.[Klaus],
Robust Motion Estimation for Calibrated Cameras from Monocular Image Sequences,
CVIU(73), No. 2, February 1999, pp. 258-268.
WWW Version. BibRef 9902

Gibson, D., Spann, M.,
Robust Motion Trajectory Estimation for Long Image Sequences with Applications to Motion Compensated Prediction,
PRAI(13), No. 5, August 1999, pp. 781. 0005 BibRef

Cadman, L., Tjahjadi, T.,
Efficient Three-Dimensional Metric Object Modeling From Uncalibrated Image Sequences,
SMC-B(34), No. 2, April 2004, pp. 856-876.
IEEE Abstract. IEEE Top Reference. 0404 BibRef
Earlier:
Simultaneous Feature Tracking and Three-dimensional Object Reconstruction from an Image Sequence,
ICIP01(II: 391-394).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Arnaud, E.[Elise], Mémin, E.[Etienne], Cernuschi-Frias, B.,
Conditional Filters for Image Sequence-Based Tracking: Application to Point Tracking,
IP(14), No. 1, January 2005, pp. 63-79.
WWW Version. 0501 BibRef

Arnaud, E.[Elise], Mémin, E.[Etienne],
Partial Linear Gaussian Models for Tracking in Image Sequences Using Sequential Monte Carlo Methods,
IJCV(74), No. 1, August 2007, pp. 75-102.
WWW Version. 0705 BibRef
Earlier:
Optimal Importance Sampling for Tracking in Image Sequences: Application to Point Tracking,
ECCV04(Vol III: 302-314).
WWW Version. 0405Sequential Monte Carlo methods (also called particle filters) BibRef

Shih, M.Y.[Ming-Yu], Tseng, D.C.[Din-Chang],
A wavelet-based multiresolution edge detection and tracking,
IVC(23), No. 4, 1 April 2005, pp. 441-451.
WWW Version. 0501 BibRef

Zhu, G.P.[Guo-Pu], Zeng, Q.[Qingshuang], Wang, C.H.[Chang-Hong],
Efficient edge-based object tracking,
PR(39), No. 11, November 2006, pp. 2223-2226.
WWW Version. 0608Keywords: Image edge; Motion estimation; Object tracking BibRef

Mostafoui, G., Achard, C.[Catherine], Milgram, M.[Maurice],
Real time tracking of multiple persons using elementary tracks,
AVSBS05(129-134).
WWW Version. 0602 BibRef

Mostafoui, G., Achard, C.[Catherine], Milgram, M.[Maurice],
Objects Velocity Estimation on Images Sequences by Hough Transform with Projection (HTP),
ICPR04(III: 83-86).
WWW Version. 0409 Hough, Motion. BibRef

Mostafoui, G., Achard, C.[Catherine], Milgram, M.[Maurice],
Trajectories extraction from image sequences based on kinematic,
CIAP03(436-441).
IEEE Abstract. IEEE Top Reference. 0310 BibRef

Nam, S.[Siwook], Kim, H.[Hanjoo], Kim, J.H.[Jai-Hie],
Trajectory Estimation Based on Globally Consistent Homography,
CAIP03(214-221).
WWW Version. 0311 BibRef

Mukunoki, M.[Masayuki], Yasuda, K.[Kazutaka], Asada, N.[Naoki],
3D Model Generation from Image Sequences Using Global Geometric Constraint,
ISVC05(470-477).
WWW Version. 0512 BibRef

Amano, A.[Akira], Migita, T.[Tsuyoshi], Asada, N.[Naoki],
Stable Recovery of Shape and Motion from Partially Tracked Feature Points with Fast Nonlinear Optimization,
VI02(244).
PDF Version. 0208 BibRef

Mery, D.[Domingo], Ochoa, F.[Felipe], Vidal, R.[René],
Tracking of Points in a Calibrated and Noisy Image Sequence,
ICIAR04(I: 647-654).
WWW Version. 0409 BibRef

Zhong, D., Chang, S.F.,
Long-term Moving Object Segmentation and Tracking Using Spatio-temporal Consistency,
ICIP01(II: 57-60).
IEEE Abstract. IEEE Top Reference. 0108 BibRef

Gibson, D.P.[David P.], Campbell, N.W.[Neill W.], Dalton, C.J.[Colin J.], Thomas, B.T.[Barry T.],
Extraction of Motion Data from Image Sequences to Assist Animators,
BMVC00(xx-yy).
PDF Version. 0009 BibRef
And:
Visual Extraction of Motion-based Information from Image Sequences,
ICPR00(Vol III: 881-884).
WWW Version.
HTML Version. 0009 BibRef

Shum, H.Y.[Heung-Yeung], Ke, Q.[Qifa], Zhang, Z.Y.[Zheng-You],
Efficient Bundle Adjustment with Virtual Key Frames: A Hierarchical Approach to Multi-frame Structure from Motion,
CVPR99(II: 538-543).
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9900

Matei, B.[Bogdan], Meer, P.[Peter],
Optimal Rigid Motion Estimation and Performance Evaluation with Bootstrap,
CVPR99(I: 339-345).
IEEE Abstract. IEEE Top Reference.
WWW Version. Award, CVPR, Student. BibRef 9900

Zhang, T.[Tong], Tomasi, C.[Carlo],
Fast, Robust, and Consistent Camera Motion Estimation,
CVPR99(I: 164-170).
IEEE Abstract. IEEE Top Reference.
WWW Version. Using robust techniques to improve estimate as number of points increases. BibRef 9900

Carceroni, R.L.[Rodrigo L.], Kumar, A.[Ankita], Daniilidis, K.[Kostas],
Structure from Motion with Known Camera Positions,
CVPR06(I: 477-484).
WWW Version. 0606 BibRef

Carceroni, R.L.[Rodrigo L.], Kutulakos, K.N.[Kiriakos N.],
Multi-View 3D Shape and Motion Recovery on the Spatio-Temporal Curve Manifold,
ICCV99(520-527).
WWW Version. BibRef 9900

Carceroni, R.L.[Rodrigo L.], Kutulakos, K.N.[Kiriakos N.],
Toward Recovering Shape and Motion of 3D Curves from Multi-View Image Sequences,
CVPR99(I: 192-197).
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9900
And:
Shape and Motion of 3-D Curves from Multi-View Image Scenes,
DARPA98(171-176). BibRef

Rehrmann, V.,
Object-oriented motion estimation in color image sequences,
ECCV98(I: 704).
WWW Version. BibRef 9800

Oakley, J.P., Powell, W.A.,
A Statistical Model for the Realiability of Motion Tracking Using Mean Normalised Correlation,
PERF96(XX-YY).
HTML Version. BibRef 9600

Ravela, S., Draper, B.A., Lim, J., and Weiss, R.,
Tracking Object Motion Across Aspect Changes for Augmented Reality,
ARPA96(1345-1352).
Postscript Version. BibRef 9600
Earlier:
Adaptive Tracking and Model Registration Across Distinct Aspects,
IROS95(xx). BibRef
And: COINSTR 95-21, March 1995.
HTML Version. BibRef

Thonnessen, U., Ernst, D., Gross, H.,
Development of a Segment-Based Description of Events in Image Sequences,
ICPR92(I:383-386).
WWW Version. BibRef 9200

Jacobs, D.W., Chennubhotla, C.,
Finding Structurally Consistent Motion Correspondences,
ICPR94(A:650-653).
WWW Version. BibRef 9400

Benois-Pineau, J., Wu, L., Delanges, P., Barba, D.,
Motion and Structure Based Image Segmentation for Object-Oriented Time-Varying Sequences Coding,
ICPR94(A:733-735).
WWW Version. BibRef 9400

Silven, O., Repo, T.,
Experiments with monocular visual tracking and environment modeling,
ICCV93(84-92).
WWW Version. 0403 BibRef

Gould, K., Shah, M.,
The Trajectory Primal Sketch: A Multi-Scale Scheme for Representing Motion Characteristics,
CVPR89(79-85).
IEEE Abstract. IEEE Top Reference. BibRef 8900

Kim, Y.C., and Price, K.E.,
A Feature-Based Monocular Motion Analysis System Guided by Feedback Information,
CVPR93(744-745).
IEEE Abstract. IEEE Top Reference. BibRef 9300 USC Computer Vision BibRef
And: DARPA93(611-620). BibRef
Earlier:
Refinement of Noisy Correspondence Using Feedback from 3-D Motion,
CVPR92(836-838).
IEEE Abstract. IEEE Top Reference. BibRef
And: DARPA92(479-486). Use the motion estimate to determine the best matches for future frames and generate more complete 3-D structures. BibRef

Haynes, S.M., and Jain, R.C.,
Trajectories and Events,
CVPR91(702-703).
IEEE Abstract. IEEE Top Reference. BibRef 9100
Earlier:
Low Level Motion Events: Trajectory Discontinuities,
CAIA84(251-256). Line fitting algorithm to track points through a sequence. BibRef

Price, K.E., and Pavlin, I.,
Integration Effort in Knowledge-Based Vision Techniques for the Autonomous Land Vehicle Program,
DARPA88(417-422). BibRef 8800 USC Computer VisionResults of building a complete motion analysis system. Segmentation, matching and motion estimation. BibRef

Kabuka, M.[Mansur], and McVey, E.S.[Eugene S.],
Image Processing for Position Detection,
(UMiami and UVA) DraftExtract the projection of the image and use the two 1-D functions to track an object. BibRef 0000

Narathong, C., Inigo, R.M., McVey, E.S.,
Motion-vision architectures,
CVPR88(411-416).
IEEE Abstract. IEEE Top Reference. 0403 BibRef

Inigo, R.M., Narathong, C., Doner, J.F., and McVey, E.S.,
A Fast Algorithm for Motion Prediction,
DraftThis seems to be a single scan line version of the projection paper above. BibRef 0000

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