Up: Feature Point Tracking Algorithms
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- 1
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B.Jähne.
Digital Image Processing.
Springer, 1997.
- 2
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D. Chetverikov and A. Lerch.
A matching algorithm for motion analysis of dense populations.
Pattern Recognition Letters, 11:743-749, 1990.
- 3
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D. Chetverikov and J. Verestóy.
Motion Tracking of Dense Feature Point
Sets.
In Proc.
Workshop of the Austrian Pattern Recognition
Group, pages 233-242. Oldenbourg Verlag, 1997.
- 4
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D. Chetverikov and J. Verestóy.
Tracking feature points: A new
algorithm.
In Proc. International Conf. on Pattern Recognition, pages
1436-1438, 1998.
- 5
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J. D. Courtney.
Automatic video indexing via object motion analysis.
Pattern Recognition, 30:607-625, 1997.
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J.L. Barron and D.J. Fleet and S.S. Beauchemin (FTP
site).
Performance of optical flow techniques.
International Journal of Computer Vision, 12:1:43-77, 1994.
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V. Hwang.
Tracking feature points in time-varying images using an opportunistic
selection approach.
Pattern Recognition, 22:247-256, 1989.
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K. Okamoto, S. Nishio, T. Saga, and T. Kobayashi.
Standard Images for Particle Imaging
Velocimetry.
http://sap.gen.u-tokyo.ac.jp/image-e.html.
- 9
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K. Rangarajan and M. Shah.
Establishing motion correspondence.
CVGIP: Image Understanding, 54:56-73, 1991.
- 10
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V. Salari and I. K. Sethi.
Feature point correspondence in the presence of occlusion.
IEEE Trans. Pattern Analysis and Machine Intelligence,
12:87-91, 1990.
- 11
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I. K. Sethi and R. Jain.
Finding trajectories of feature points in a monocular image sequence.
IEEE Trans. Pattern Analysis and Machine Intelligence,
9:56-73, 1987.
Dmitry Chetverikov
1998-11-24