Description: MeanShift algorithm is a non-parametric probability density estimation method, the algorithm uses the pixel density gradient feature points obtained by derivation function, MeanShift iteration algorithm converges to a local maximum of the probability density function, location and tracking goals, but also to Object tracking variable shape, deformation, rotation and other moving targets but also robust. MeanShift iterative algorithm is an automated tracking algorithm, constantly moving the MeanShift compensation vector along the direction of the gradient density function. Under certain conditions, MeanShift algorithm can converge to local optima, in order to achieve accurate positioning of the moving body.
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MeanShift\pyrMeanShiftFiltering\1.jpg
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.........\pyrMeanShiftFiltering.sln
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MeanShift
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