Mean shift

Known as: Mean-shift, Mean-shift algorithm, Mean-shift clustering 
Mean shift is a non-parametric feature-space analysis technique for locating the maxima of a density function, a so-called mode-seeking algorithm… (More)
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Highly Cited
2010
Highly Cited
2010
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous… (More)
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Highly Cited
2009
Highly Cited
2009
 Proposed method – Object tracking using mean shift/SIFT strategy • Using SIFT feature − Corresponding region of interests… (More)
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Highly Cited
2008
Highly Cited
2008
The original mean shift algorithm is widely applied for nonparametric clustering in vector spaces. In this paper we generalize it… (More)
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Highly Cited
2007
Highly Cited
2007
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hosteller, is a hill-climbing algorithm on the density defined… (More)
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Highly Cited
2005
Highly Cited
2005
The mean shift algorithm has achieved considerable success in object tracking due to its simplicity and robustness. It finds… (More)
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Highly Cited
2005
Highly Cited
2005
We build on the current understanding of mean shift as an optimization procedure. We demonstrate that, in the case of piecewise… (More)
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Highly Cited
2003
Highly Cited
2003
The mean-shift algorithm is an efficient technique for tracking 2D blobs through an image. Although the scale of the mean-shift… (More)
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Highly Cited
2002
Highly Cited
2002
A general nonparametric technique is proposed for the analysis of a complex multimodal feature space and to delineate arbitrarily… (More)
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Highly Cited
2000
Highly Cited
2000
A new method for r eal-time tracking of non-rigid objects seen from a moving camera is proposed. The central computational module… (More)
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Highly Cited
1995
Highly Cited
1995
Mean shift, a simple iterative procedure that shifts each data point to the average of data points in its neighborhood, is… (More)
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