Stan Birchfield January 20, A. D. 1997 Carlo Tomasi [1] has recently proposed ...  Home/Search
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Abstract: 24.07> = [¸ x ; ¸ y ] T . Following the derivation in [3], we let x + d 2 = ¸ and x = a to get: J(x + d 2 ) ß J(x) + d x 2 @J @x (x) + d y 2 @J @y (x): Similarly, I(x \Gamma d 2 ) ß I(x) \Gamma d x 2 @I @x (x) \Gamma d y 2 @I @y (x): Therefore, @ ffl @d = 2 Z Z W [J(x + d 2 ) \Gamma<F24.0 (Update)
Context of citations to this paper: More
.... 6 briefly describes the Kanade Lucas Tomasi (KLT) feature tracker for detecting features and tracking them over the image sequence [52] [4]. The KLT tracker obtains good results on a variety of scenes and does not require extensive parameter adjustment. Nevertheless,...
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BibTeX entry: (Update)
S. Birchfield, "Derivation of Kanade-Lucas-Tomasi tracking equation," unpublished notes, 1997. http://citeseer.ist.psu.edu/article/birchfield97derivation.html More
@misc{ birchfield97derivation,
author = "S. Birchfield",
title = "Derivation of Kanade-Lucas-Tomasi tracking equation",
text = "S. Birchfield, Derivation of Kanade-Lucas-Tomasi tracking equation, unpublished
notes, 1997.",
year = "1997",
url = "citeseer.ist.psu.edu/article/birchfield97derivation.html" }
Citations (may not include all citations):333 Good features to track - Shi, Tomasi - 1994
54 Detection and Tracking of Point Features - Tomasi, Kanade - 1991
2 Personal correspondence (context) - Tomasi - 1996
Documents on the same site (http://robotics.stanford.edu/~birch/klt/):
Good Features to Track - Shi, Tomasi (1994) (Correct)
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