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Making Good Features Track Better (1998)  (Make Corrections)  (13 citations)
Tiziano Tommasini, Andrea Fusiello, Emanuele Trucco, Vito Roberto
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR `98)



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Abstract: This paper addresses robust feature tracking. We extend the well-known Shi-Tomasi-Kanade tracker by introducing an automatic scheme for rejecting spurious features. We employ a simple and efficient outlier rejection rule, called X84, and prove that its theoretical assumptions are satisfied in the feature tracking scenario. Experiments with real and synthetic images confirm that our algorithm makes good features track better; we show a quantitative example of the benefits introduced by the... (Update)

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12:   Good features to track - Shi, Tomasi - 1994
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BibTeX entry:   (Update)

T. Tommasini, A. Fusiello, E. Trucco, and V. Roberto, "Making good features track better," Proc. IEEE Conf. on Computer Vision and Pattern Recognition, 178--183, 1998. http://citeseer.ist.psu.edu/article/tommasini98making.html   More

@inproceedings{ tomfustrurob98,
  author =       "T. Tommasini and { A. Fusiello} and E. Trucco and V. Roberto",
  title =        "Making Good Features Track Better",
  year = 	 "1998",
  booktitle =    "Proceedings of the IEEE Conference on Computer Vision and
		  Pattern Recognition ({CVPR `98})",
  pages =        "178-183",
  publisher =    "IEEE Computer Society Press",
  address =      "Santa Barbara, CA",
  month =        "June",
  pdf =          {http://www.sci.univr.it/\~fusiello/papers/84970178.pdf},
  url = {citeseer.ist.psu.edu/article/tommasini98making.html} }
Citations (may not include all citations):
502   Performance of optical flow techniques - Barron, Fleet et al. - 1994
492   An iterative image registration technique with an applicatio.. - Lucas, Kanade - 1981
442   Shape and motion from image streams under orthography -- a f.. (context) - Tomasi, Kanade - 1992
333   Good features to track - Shi, Tomasi - 1994
197   Robust Statistics: the Approach Based on Influence Functions (context) - Hampel, Rousseeuw et al. - 1986
164   Robust regression methods in computer vision: a review (context) - Meer, Mintz et al. - 1991
132   Kalman filter based algorithms for estimating depth from ima.. - Matthies, Kanade et al. - 1989
74   Real-time tracking of image regions with changes in geometry.. (context) - Hager, Belhumeur - 1996
62   Robust parameterization and computation of the trifocal tens.. - Torr, Zisserman - 1996
29   Technical Report CMU-CS (context) - Tomasi, Kanade et al. - 1991
27   Applications of non-metric vision to some visually-guided ro.. - Robert, Zeller et al. - 1997
23   Efficient stereo with multiple windowing - Fusiello, Roberto et al. - 1997
19   Dynamic histogram warping of image pairs for constant image .. - Cox, Roy et al. - 1995
13   Robust detection of degeneracy (context) - Torr, Zisserman et al. - 1995
7   SSD disparity estimation for dynamic stereo - Trucco, Roberto et al. - 1996
5   A matching and tracking strategy for indipendently moving ob.. (context) - Shapiro, Wang et al. - 1992



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Improving Feature Tracking with Robust Statistics - Fusiello, Trucco, Tommasini, .. (1999)   (Correct)

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