12.1.6.3 Long Sequences, Motion

Chapter Contents (Back)
Tracking. Matching, Points. Matching, Sequence. Motion, Matching. See also Long Sequence Matching and Motion.

Mohanty, N.C.,
Computer Tracking of Moving Point Targets in Space,
PAMI(3), No. 5, September 1981, pp. 606-611. BibRef 8109

Sethi, I.K., and Jain, R.C.,
Finding Trajectories of Feature Points in a Monocular Image Sequence,
PAMI(9), No. 1, January 1987, pp. 56-73. BibRef 8701
Earlier: CAIA85(106-111). BibRef
And:
Establishing Correspondence of Non-Rigid Objects Using Smoothness of Motion,
CVWS84(83-87). This is primarily a long sequence correspondence problem. Initial matches are generated based on nearest neighbors, then matches are exchanged until it is stable. Exchanges are made to increase the smoothness of motion criteria. BibRef

Chen, H.H., and Huang, T.S.,
Using Motion from Orthographic Views to Verify 3-D Point Matches,
PAMI(13), No. 9, September 1991, pp. 872-878.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9109
Earlier:
Using Motion from Orthographic Projections to Prune 3-D Point Matches,
Motion89(290-297). Matching, Sequence. Since it is orthographic, ignore Z and use only the X and Y components. See also Motion and Structure from Orthographic Projections. BibRef

Bruckstein, A.M., and Netravali, A.N.,
On Minimal Energy Trajectories,
CVGIP(49), No. 3, March 1990, pp. 283-296.
WWW Version. Also see curve fitting papers (snakes and the like). BibRef 9003

Salari, V., and Sethi, I.K.,
Feature Point Correspondence in the Presence of Occlusion,
PAMI(12), No. 1, January 1990, pp. 87-91.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9001
Earlier:
Correspondence in Presence of Occlusion,
CVWS87(327-330). A modification of See also Finding Trajectories of Feature Points in a Monocular Image Sequence. BibRef

Sethi, I.K., Salari, V., Vemuri, S.,
Feature Point Matching in Image Sequences,
PRL(7), 1988, pp. 113-121. BibRef 8800

Sethi, I.K., Salari, V., Vemuri, S.,
Image Sequence Segmentation Using Motion Coherence,
ICCV87(667-671). BibRef 8700

Sethi, I.K., Patel, N.V., Yoo, J.H.,
A General Approach for Token Correspondence,
PR(27), No. 12, December 1994, pp. 1775-1786.
WWW Version. BibRef 9412

Sethi, I.K., Ramesh, N.,
Local Association Based Recognition of Two-Dimensional Objects,
MVA(5), 1992, pp. 265-276. BibRef 9200

Aloimonos, Y.[Yiannis], Tsakiris, D.P.[Dimitris P.],
On the Visual Mathematics of Tracking,
IVC(9), No. 4, August 1991, pp. 235-251.
WWW Version. BibRef 9108
Earlier:
Tracking in a complex visual environment,
ECCV90(247-258).
WWW Version. 9004 BibRef

Sudhir, G., Banerjee, S., Zisserman, A.,
Finding Point Correspondences in Motion Sequences Preserving Affine Structure,
CVIU(68), No. 2, November 1997, pp. 237-246. 9712
WWW Version. BibRef
Earlier: BMVC93(xx-yy). BibRef

Mehrotra, R.,
Establishing Motion-Based Feature Point Correspondence,
PR(31), No. 1, January 1998, pp. 23-30.
WWW Version. 9802 BibRef


Cheng, C.L., and Aggarwal, J.K.,
A Two-Stage Hybrid Approach to the Correspondence Problem Via Forward-Searching and Backward-Correcting,
ICPR90(I: 173-179).
WWW Version. Matching long sequences of point patterns using motion knowledge (uncertainty inversely proportional to velocity). BibRef 9000

Chapter on Registration, Matching and Recognition Using Points, Lines, Regions, Areas, Surfaces continues in
Principal Component Decompositions, Point features .


Last update:May 8, 2008 at 19:01:47